Lexalytics Semantria - Detailed Review
Customer Service Tools
Lexalytics Semantria - Product Overview
Lexalytics Semantria Overview
Semantria is a powerful text analytics and sentiment analysis platform that falls squarely within the AI-driven customer service tools category. Here’s a breakdown of its primary function, target audience, and key features:
Primary Function
Semantria is built to analyze unstructured text data, transforming it into actionable insights. It leverages natural language processing (NLP) and artificial intelligence to process vast amounts of text from various sources such as social media, customer reviews, emails, survey responses, and more. This helps businesses gain clear insights into customer sentiments, preferences, and behaviors.
Target Audience
The primary users of Semantria include data analytics companies, enterprise data analyst teams, and various departments within organizations such as marketing, PR, and customer support. It is particularly useful for businesses that need to analyze large volumes of unstructured text data to make informed decisions.
Key Features
Sentiment Analysis
Semantria can analyze the sentiment of text data, providing detailed insights into how customers feel about products or services.
Named Entity Extraction
It identifies and extracts specific entities such as names, locations, and organizations from text.
Theme Extraction
This feature helps in identifying recurring themes or topics within large datasets.
Categorization
Semantria categorizes text into predefined categories, which can be customized to match industry-specific vocabularies.
Intention Analysis
It analyzes the intent behind customer interactions, such as identifying complaints or feedback.
Summarization
The platform can summarize long documents into concise summaries.
Low-level NLP Functions
Includes tokenization, part-of-speech tagging, and other fundamental NLP tasks.
Multi-Language Support
Semantria supports over 20 languages, making it a versatile tool for global businesses.
Pre-Built Industry Configurations
Offers pre-configured settings for various industries to streamline the analysis process.
Graphical Configuration System
Users can configure the platform using graphical tools, making it easier to set up and manage.
Scalability and Flexibility
Semantria is highly scalable and can be deployed on-premise, in the cloud, or within hybrid infrastructure. It is also available on Microsoft Azure, integrating seamlessly with other Azure services.
Additional Capabilities
Semantria API
Provides a RESTful API with seven SDKs for different programming languages (Java, C , .Net, PHP, Python, Ruby, and Javascript), allowing easy integration with various applications.
Semantria Storage & Visualization
Offers a content storage, aggregation, search, and reporting framework, enabling rich filtering, search, and graphical representations of data insights.
Overall, Semantria is a comprehensive tool that helps businesses extract valuable insights from unstructured text data, enhancing their ability to respond effectively to customer needs and preferences.
Lexalytics Semantria - User Interface and Experience
User Interface
The user interface of Lexalytics Semantria is designed to be intuitive and user-friendly, particularly with the introduction of the new wizard, SWIZ, and the updated Semantria Online Configurator. Semantria now features a graphical user interface (GUI) that includes a wizard named SWIZ, which is part of the Semantria Online Configurator (SWEB 1.3). This GUI is intended to simplify the process of text and sentiment analysis. Users can input the type of content they are processing (such as social media, blogs, or news articles) and the language, and the system will handle the rest, eliminating the need for users to understand technical terms like ‘alpha-numeric content threshold’ and ‘entities confidence threshold.’
Ease of Use
The interface is made to be easy and intuitive, much like how Apple’s first Macintosh made personal computing accessible. This approach aims to make the job of data analysts more enjoyable and straightforward. The updated layout and functionality are designed to speed up the process, ensuring that users can quickly configure the system to match their specific content and business needs.
Overall User Experience
The user experience is enhanced by the simplicity and ease of use provided by SWIZ. Users do not need to have a deep technical background to use the platform effectively. The system supports 22 languages and offers a range of features including sentiment analysis, named entities, themes, categorization, and more. This makes it accessible for a variety of users, from large-scale data processing companies to desktop users, particularly those involved in media monitoring and customer feedback analysis.
Overall, the user interface of Semantria is streamlined to be user-friendly, reducing the learning curve and making it easier for users to extract meaningful insights from unstructured data.
Lexalytics Semantria - Key Features and Functionality
Lexalytics Semantria Overview
Semantria is a comprehensive text analytics and natural language processing (NLP) solution that offers a range of features and functionalities, particularly beneficial in the customer service tools category. Here are the main features and how they work:
Text Analytics and NLP Capabilities
Semantria integrates the text analytics and NLP features of Lexalytics’ Salience engine into a RESTful API. This includes:
- Sentiment Analysis: Determines whether a piece of writing is positive, negative, or neutral, helping customer service teams gauge customer satisfaction and sentiment from feedback, reviews, and other text data.
- Named Entity Extraction: Identifies and extracts specific entities such as people, places, dates, companies, products, jobs, and titles from text. This is useful for categorizing and analyzing customer interactions.
- Theme Extraction: Identifies recurring themes or topics within large volumes of text, which can help in understanding common issues or trends in customer feedback.
- Categorization: Sorts and organizes documents into customizable groups based on predefined categories or industry-specific vocabularies. This aids in categorizing customer inquiries or feedback into relevant categories.
Customization and Adaptability
- Customizable NLP: Every aspect of the NLP system, including sentiment analysis, categorization, and named entity extraction, can be tweaked to match specific industry or organizational requirements. This ensures that the analysis aligns with the unique needs of the customer service team.
- Industry Packs: Pre-built industry configurations are available for sectors like hotels, restaurants, retail, and pharmaceuticals. These packs improve the accuracy of sentiment analysis, topic detection, and categorization specific to each industry.
Deployment and Integration
- Flexible Deployment: Semantria can be deployed on-premise, in public or private clouds, or within hybrid cloud infrastructure. This flexibility allows it to fit into various organizational setups and security requirements.
- Integration with Other Tools: Semantria can be integrated with other business intelligence tools and platforms, such as Microsoft Excel (through Semantria for Excel), and other cloud-based enterprise data analytics infrastructure. This integration enables seamless analysis and visualization of text data within existing workflows.
AI Integration
- Machine Learning Models: Semantria leverages machine learning models to improve the accuracy of text analytics. For example, the AI Assembler platform, which is part of the broader Lexalytics suite, includes multiple curated machine learning algorithms and automated hyperparameter optimization to enhance the accuracy and efficiency of NLP tasks.
- Custom Machine Learning Models: Users can deploy custom-trained machine learning “micromodels” to tackle unique challenges in their data. This ensures that the AI-driven analysis is highly accurate and relevant to the specific needs of the customer service team.
Data Storage and Visualization
- Semantria Storage & Visualization: This feature provides a full-stack offering that includes content storage, aggregation, search, and reporting. It enables rich filtering and search of processed content, storage of billions of documents, and graphical representations of data insights. This helps in quick analysis and reporting, as well as sharing insights across teams and departments.
User-Friendly Configuration
- Graphical Configuration System: Semantria includes a graphical user interface for configuration and user management. This makes it easier for users to define custom entities, create new query topics, build category taxonomies, and add blacklists without needing extensive technical expertise.
Conclusion
In summary, Lexalytics Semantria is a powerful tool that leverages AI and NLP to transform unstructured text data into actionable insights, making it highly beneficial for customer service teams to analyze feedback, categorize inquiries, and improve overall customer satisfaction.
Lexalytics Semantria - Performance and Accuracy
Performance and Accuracy of Lexalytics’ Semantria in Customer Service Tools
Sentiment Accuracy
Semantria’s sentiment analysis capabilities are noteworthy, with the ability to achieve accuracy levels that match or exceed human agreement baselines. Human analysts typically agree on sentiment around 80-85% of the time, and Semantria’s models can reach or surpass this threshold. For instance, a basic sentiment scoring model tested on a dataset of movie reviews achieved an accuracy score of 81.5%, which is on par with human agreement levels.Domain-Specific Performance
The accuracy of Semantria’s sentiment analysis improves significantly when the model is trained on domain-specific content. This is particularly important in customer service, where industry-specific language and context are crucial. Using a model configured to understand the language of a particular industry, such as finance or healthcare, can lead to very high sentiment accuracy.Customization and Tuning
Semantria offers highly tunable natural language processing (NLP) features, allowing users to customize categorization, context determination, entity extraction, and sentiment analysis to fit their specific needs. This flexibility is essential for customer service applications, where the ability to define custom entities and create new query topics can enhance the accuracy and relevance of the insights generated.Entity Extraction and Categorization
In addition to sentiment analysis, Semantria excels in entity extraction and categorization. It can automatically extract entities such as people, places, companies, and job titles, which is valuable in customer service for identifying key themes and concerns. The tool also supports categorization, enabling the sorting and organization of documents into customizable groups.Multilingual Support
Semantria provides support for multiple languages, processing text in 22 languages and counting. This is beneficial for global customer service operations, where handling feedback and interactions in various languages is essential.Limitations and Areas for Improvement
Rules-Based vs. Machine Learning
While Semantria leverages machine learning, which is more adaptable and accurate than rules-based systems, there are still some limitations. Rules-based sentiment analysis, though simpler, can be inadequate due to its inability to handle the nuances of natural language, such as negators, intensifiers, and evolving language patterns. Therefore, relying solely on machine learning models is recommended for nuanced analytics.Maintenance of Sentiment Libraries
Maintaining sentiment libraries, especially for multilingual support, requires constant updates to scores, addition of new phrases, and removal of irrelevant ones. This ongoing maintenance is necessary to ensure the system remains accurate and effective.Contextual Understanding
While Semantria is highly capable, it may still face challenges with out-of-context sentiment scoring. Ensuring that the system considers negators and intensifiers is crucial to avoid drawing false conclusions from the data.Conclusion
In summary, Semantria by Lexalytics offers strong performance and accuracy in sentiment analysis, entity extraction, and categorization, particularly when customized for specific domains. However, it is important to address the limitations related to the maintenance of sentiment libraries and the need for contextual understanding to ensure the highest accuracy in customer service applications. Lexalytics Semantria - Pricing and Plans
Pricing Structure
The pricing structure for Lexalytics’ Semantria API is structured into several tiers, each catering to different business needs and sizes. Here’s a breakdown of the available plans and their features:
Pricing Tiers
- Starter Plan: This plan is priced at $1500 per month. It is suitable for small businesses or those with limited text analytics needs.
- Growth Plan: Priced at $2500 per month, this plan is intended for medium-sized businesses that require more extensive text analytics capabilities.
- Advanced Plan: The most comprehensive plan, priced at $3500 per month, is geared towards large enterprises with high-demand text analytics requirements.
Features
While the specific features of each tier are not detailed in the sources, here are some general features that Semantria offers across its plans:
- Sentiment Analysis: Analyze the sentiment of text data to understand opinions and feelings.
- Named Entity Extraction: Identify and extract specific entities such as names, locations, and organizations.
- Categorization: Classify text into predefined categories.
- Thematic Extraction: Identify key themes and topics within the text.
- Summarization: Generate summaries of large documents.
- Boolean Queries: Perform complex queries to filter and analyze data.
- POS Tagging: Identify parts of speech within the text.
- Intentions: Detect the intentions behind the text, such as recommending or quitting.
Industry Packs
In addition to the standard features, Semantria offers Industry Packs, which are pre-built tuning configurations for specific industries like hospitality, restaurants, retail, and pharmaceuticals. These packs can enhance the accuracy and relevance of the analysis for industry-specific needs.
Free Trial
Lexalytics provides a free trial for Semantria, allowing potential customers to test the features and capabilities before committing to a subscription.
Additional Tools
Semantria also integrates with other tools, such as Microsoft Excel through Semantria for Excel, and offers on-premise solutions via the Salience engine. However, these are separate offerings and not part of the standard cloud API plans.
This structure allows businesses to choose a plan that aligns with their specific needs and budget, while also providing the flexibility to customize and enhance their text analytics capabilities.
Lexalytics Semantria - Integration and Compatibility
Overview
The content in Lexalytics’ Semantria platform is highly versatile and integrates seamlessly with a variety of tools and platforms, making it a robust solution for text analytics and natural language processing (NLP).
Cross-Platform Compatibility
Semantria can be deployed across various infrastructure types, including on-premise, private cloud, hybrid cloud, and public cloud environments. This flexibility allows it to fit into different organizational setups, ensuring it can be used in a way that aligns with the organization’s security, privacy, and compliance needs.
Integration with Business Tools
Semantria for Mac, a desktop application, enables easy integration with popular business intelligence, visualization, and statistical analysis tools. It can pull in Excel format files from applications like SurveyMonkey and Google Forms, and output data in formats compatible with tools such as Tableau, Qlik, Microstrategy, and JSON for ingestion in Elastic Search.
API and Configuration Tools
The Semantria API is wrapped in a RESTful interface with graphical configuration and user management tools. This makes it easy to integrate into cloud-based enterprise data analytics infrastructure. The API offers a wide range of customizable features, including categorization, named entity extraction, and sentiment analysis, which can be tweaked to match specific industry or organizational requirements.
Support for Multiple File Formats
Semantria supports various file formats, including Excel spreadsheets and directories populated with text files. This versatility ensures that users can analyze text data from different sources without additional formatting or coding.
Industry-Specific Configurations
Lexalytics provides pre-built industry configurations, known as Industry Packs, which include settings for hotels, restaurants, retail, pharmaceuticals, and more. These packs enhance the accuracy of sentiment analysis, topic detection, and categorization specific to each industry.
Native Language Support
Semantria offers native language support in 29 languages, covering 67% of the world’s population. This broad language support makes it a valuable tool for global organizations needing to analyze text in multiple languages.
Conclusion
In summary, Semantria’s integration capabilities and compatibility across different platforms and devices make it a highly adaptable and scalable solution for text analytics and NLP needs. Its ability to integrate with various business tools, support multiple file formats, and offer industry-specific configurations further enhances its utility.
Lexalytics Semantria - Customer Support and Resources
Customer Support
For any issues or questions, customers can reach out directly to Lexalytics’ support team. You can drop a note at support@lexalytics.com, and the team will get back to you quickly to address your concerns.
Developer Documentation
Lexalytics provides comprehensive documentation for developers who are already working with their tools. This includes detailed guides on the Semantria API, Spotlight, and other technical aspects. These resources help developers get the facts they need to integrate and use the Semantria API efficiently.
Technology and Tuning Guides
For those who need more than basic guides, Lexalytics offers deeper documentation on tuning and their language processes. This includes information on how to customize features such as categorization, context determination, entity extraction, and sentiment analysis to match specific needs.
Additional Resources
Case Studies
Lexalytics provides case studies that showcase how other companies have successfully used their text analytics tools. These include examples from evolve24, AlternativesPharma, and a sports technology company, which can offer valuable insights into real-world applications.
White Papers
There are several white papers available that discuss topics such as choosing an AI vendor, the value of theme extraction and context analysis, and how to lift the load for natural language processing experts. These papers offer in-depth information on various aspects of natural language processing and text analytics.
Semantria for Excel
For users who prefer working within Microsoft Excel, Lexalytics offers Semantria for Excel, an add-in that allows for the analysis of survey data, sentiment analysis, and data visualization directly within Excel. This tool is particularly useful for market researchers, business analysts, and customer experience management professionals.
These resources collectively ensure that customers have the support and information they need to effectively use and benefit from the Semantria API and other Lexalytics tools.
Lexalytics Semantria - Pros and Cons
Advantages of Lexalytics Semantria
Comprehensive NLP Capabilities
- Semantria offers a wide range of natural language processing (NLP) features, including sentiment analysis, named entity extraction, theme extraction, categorization, intention analysis, and summarization. These features are highly customizable to match industry-specific vocabulary and requirements.
Multi-Language Support
- The platform supports over 20 languages, making it a versatile tool for global businesses. This multi-language capability is particularly useful for companies operating in diverse markets.
Flexible Deployment
- Semantria can be deployed in various environments, including on-premise, private cloud, hybrid cloud, and public cloud. This flexibility ensures that the solution can adapt to different organizational needs and security requirements.
Integration and Connectivity
- The Semantria API integrates seamlessly with various applications and services, including major web services and business intelligence tools. It also supports multiple SDKs for languages like Java, C , .Net, PHP, Python, Ruby, and Javascript.
Industry-Specific Configurations
- Pre-built industry configurations are available for sectors such as hotels, restaurants, retail, pharmaceuticals, and more. These configurations enhance the accuracy of sentiment analysis, topic detection, and categorization specific to each industry.
Visualization and Analytics
- Semantria includes graphical configuration tools and analytics dashboards that help in visualizing the results. This makes it easier to reveal and share trends and patterns within the text data.
Custom Machine Learning Models
- Users can deploy custom-trained machine learning models to address unique challenges in their data. This feature is particularly useful for organizations that need specialized text analytics solutions.
Disadvantages of Lexalytics Semantria
Initial Complexity
- Setting up and configuring Semantria can be complex, especially for smaller organizations or those without extensive technical expertise. It may require significant time and effort to fully understand and utilize the platform’s capabilities.
Onboarding Process
- Some users have reported that the onboarding process and initial overview of services could be improved. This can make it challenging for new customers to get started quickly.
Cost
- The pricing model is based on the number of documents processed, document size, and complexity of configuration, which can be costly for large-scale operations or for those requiring extensive custom features.
Character Limitations
- While not a direct limitation of Semantria itself, some integrations (like the Excel add-in) may have character limits, which can be restrictive for analyzing long-form data or complex business intelligence problems.
Scalability for Small Organizations
- The platform is described as “enterprise-ready,” which might make it less suitable for smaller organizations due to its scale and the resources required to fully utilize its features.
In summary, Lexalytics Semantria is a powerful tool for text analytics with a wide range of features and customization options, but it may present some challenges in terms of initial setup, cost, and suitability for smaller organizations.
Lexalytics Semantria - Comparison with Competitors
When comparing Lexalytics’ Semantria with other AI-driven customer service tools, several key features and differences stand out.
Lexalytics Semantria
- Scalability and Flexibility: Semantria is highly scalable and adaptable, allowing deployment across various infrastructure types, including on-premise, public cloud, private cloud, and hybrid cloud environments.
- Customizable NLP: It offers highly tunable natural language processing (NLP) with broad language support, including customizable categorization, named entity extraction, and sentiment analysis. This allows for industry-specific vocabularies and fine-tuned sentiment analysis.
- Comprehensive Feature Stack: Semantria includes a wide range of NLP features such as sentiment analysis, categorization, entity extraction, and intention detection. It also supports 29 languages, covering 67% of the world’s population.
- Advanced Analytics and Visualization: With Semantria Storage & Visualization, users can store, manage, and analyze large volumes of text data, and visualize the results in interactive dashboards.
Competitors
Intercom’s Fin AI
- Comprehensive AI Platform: Fin AI includes an AI Agent for customer interactions, an AI Copilot to assist agents, and an AI Analyst for leadership insights. It is particularly beneficial for managing complex interactions and is best suited for tech-savvy businesses.
- Intuitive Design and Customization: Fin AI stands out for its intuitive design and customization options, making it effective for companies handling a high volume of complex customer interactions.
Zendesk AI
- Versatile AI-Powered Tools: Zendesk AI features tools like the Answer Bot, AI-powered knowledge management, and predictive analytics. The Answer Bot responds instantly to customer inquiries, reducing the workload on human agents.
- Predictive Analytics: Zendesk’s AI can analyze customer interactions to identify trends and common issues, providing valuable insights for strategic decisions.
Ada
- Ease of Use and Quick Deployment: Ada is known for its simplicity and quick deployment. It allows businesses to have a fully functional AI chatbot up and running quickly, making it ideal for startups and smaller teams.
- Customization: Ada’s chatbot can be easily customized to address the most common customer questions effectively.
Freshdesk AI (Freddy AI)
- Omni-Channel Support: Freshdesk AI, powered by Freddy AI, works across various messaging platforms like WhatsApp and Facebook. It suggests relevant responses based on past interactions, speeding up resolution times.
- Unified View and Analytics: Freddy AI provides a unified view of interactions and analytics to identify common customer pain points, helping businesses refine their support strategy.
Unique Features of Semantria
- Industry-Specific Configurations: Semantria offers pre-built industry configurations for improved accuracy in sentiment analysis, topic detection, and categorization across various sectors such as hotels, restaurants, retail, and pharma.
- Custom Machine Learning Models: Users can deploy custom-trained machine learning models to tackle unique challenges in their data, which is a unique feature compared to more standardized AI customer service tools.
Potential Alternatives
If you are looking for alternatives to Semantria, you might consider the following based on your specific needs:
- Zendesk AI for a comprehensive suite of AI-powered tools and predictive analytics.
- Intercom’s Fin AI for a more advanced and customizable AI platform, especially if you handle complex customer interactions.
- Ada for quick deployment and ease of use, particularly suitable for startups.
- Freshdesk AI for an omni-channel customer support solution with powerful automation features.
Each of these alternatives has its own strengths and may be more or less suitable depending on the specific requirements and scale of your customer service operations.
Lexalytics Semantria - Frequently Asked Questions
Frequently Asked Questions about Lexalytics Semantria
What is Semantria and what does it offer?
Semantria is a cloud-based API provided by Lexalytics that offers advanced text and sentiment analysis capabilities. It wraps the features of Lexalytics’ Salience engine into a RESTful API, complete with graphical configuration and user management tools. This allows users to analyze large volumes of text data, perform sentiment analysis, entity extraction, categorization, and more.How scalable is Semantria?
Semantria is highly scalable and adaptable. It can handle the analysis of hundreds of millions of documents daily and can be deployed in various environments, including on-premise, public or private clouds, or a hybrid cloud infrastructure. This flexibility ensures it can meet the needs of businesses of all sizes.What features are available in Semantria?
Semantria offers a wide range of features, including sentiment analysis, entity extraction, categorization, and intention detection. It also supports document summarization and thematic extraction. Users can customize these features to match their specific industry vocabularies and needs.What are the pricing plans for Semantria?
Semantria is available in three subscription tiers: Starter, Growth, and Advanced. The Starter plan costs $1500 per month, the Growth plan costs $2500 per month, and the Advanced plan costs $3500 per month. These plans cater to businesses of varying sizes, from small to enterprise-level.Can Semantria be customized for specific industries?
Yes, Semantria is highly customizable. Users can train the categorization and named entity extraction tools to match industry-specific vocabularies. Additionally, the sentiment analysis system can be tweaked to fit specific requirements. There are also pre-built industry configurations available for sectors like hotels, restaurants, retail, and pharmaceuticals.How does Semantria support multiple languages?
Semantria provides native language support for 29 languages, covering 67% of the world’s population across six continents. This makes it a versatile tool for global businesses and organizations.Can Semantria be integrated with other systems?
Yes, Semantria can be integrated into various systems and platforms. It offers a RESTful API that allows for easy integration into cloud-based enterprise data analytics infrastructure. It also supports integration with tools like Microsoft Excel, making it useful for surveys, social media, and reviews.Is there a free trial available for Semantria?
Yes, a free trial is available for Semantria. This allows potential users to test the features and capabilities of the API before committing to a subscription.How secure is Semantria?
Semantria is designed with security in mind. It can be deployed on-premise for enhanced security and privacy, and it supports deployment in private and hybrid cloud environments to meet various security requirements.Can users deploy custom machine learning models with Semantria?
Yes, users can deploy custom machine learning models with Semantria. The platform supports the deployment of custom-trained “micromodels” to tackle unique challenges in specific data sets.What kind of support and resources are available for Semantria users?
Lexalytics provides various resources, including graphical configuration tools, user management tools, and detailed documentation. Users can also access case studies, data sheets, and whitepapers to help them get the most out of the platform. Lexalytics Semantria - Conclusion and Recommendation
Final Assessment of Lexalytics Semantria
Lexalytics Semantria is a comprehensive text analytics and natural language processing (NLP) platform that offers a wide range of features, making it a valuable tool in the customer service and AI-driven product category.Key Features and Benefits
- Sentiment Analysis: Semantria allows users to determine the sentiment of customer feedback, whether it is positive, negative, or neutral. This is crucial for identifying areas of improvement and strengths in customer service.
- Entity Extraction: The platform can extract entities such as people, places, companies, and products from unstructured data, providing insights into what customers are talking about.
- Categorization and Intention Detection: Semantria can categorize documents into customizable groups and detect the expressed intent of customers, helping businesses to better respond to customer needs.
- Multi-Language Support: It supports text analytics in 29 languages, making it a global solution for businesses operating in diverse markets.
- Integration and Deployment: The platform can be deployed across various infrastructure options, including on-premise, private cloud, hybrid cloud, and public cloud, such as Microsoft Azure. This flexibility is particularly beneficial for enterprises with different IT requirements.
- Survey Analysis: With tools like Semantria for Excel, businesses can analyze both structured and unstructured survey data, correlate Net Promoter Score (NPS) with customer comments, and create data visualizations easily.
Who Would Benefit Most
Semantria is particularly beneficial for:- Customer Experience Management (CEM) Teams: These teams can gain deeper insights into customer feedback and sentiments, helping them to improve customer satisfaction and loyalty.
- Voice of the Customer (VOC) Professionals: VOC teams can use Semantria to analyze customer feedback from various sources, such as surveys, social media, and customer service interactions.
- Market Researchers: Market researchers can leverage Semantria to analyze large volumes of unstructured data, providing valuable market insights.
- Business Analysts: Analysts can use the platform to correlate structured and unstructured data, creating comprehensive reports and data visualizations.