Unleash the power of data with the best text analytics software available today.
With the rapid growth of unstructured text data generated across multiple platforms, such as social media, customer reviews, and emails, businesses now require advanced text analytics tools to process this information efficiently.
Text analytics software helps organizations gain valuable insights from large volumes of text data by using natural language processing (NLP), machine learning, and artificial intelligence.
In this comprehensive buyer’s guide, we will explore the top 12 best text analytics software of 2023 to help you decide when to select the right tool for your business needs.
These text analytics tools will enable you to unlock the true potential of your data, streamline your decision-making process, and stay ahead of your competition.
IBM Watson Natural Language Understanding
IBM Watson Natural Language Understanding (NLU) is a powerful text analytics tool that uses advanced NLP techniques to extract and analyze information from unstructured text.
It supports multiple languages, making it ideal for global organizations. With its intuitive interface, businesses can quickly identify their data’s keywords, entities, concepts, emotions, and sentiments.
IBM Watson NLU’s robust API makes integrating your existing business systems and applications accessible.
Key Features:
Sentiment and emotion analysis
Entity recognition and extraction
Concept identification
Multi-language support
API for seamless integration
Advantages:
A comprehensive suite of AI and machine learning tools
User-friendly interface for creating and managing analytics projects
Integration with popular data sources, like Hadoop and Spark
Robust support and documentation
Disadvantages:
High pricing for small businesses
Limited customization options
Free Trial: Yes, 30-day free trial
Pricing: Starts at $99/month for the Lite version
Google Cloud Natural Language
Google Cloud Natural Language is a popular text analytics software that profoundly understands your text data through machine learning and NLP.
With its pre-trained models, you can quickly analyze sentiment, extract entities, and classify content into predefined categories.
It also supports multiple languages, making it suitable for organizations operating in various regions.
Key Features:
Entity analysis
Sentiment analysis
Syntax analysis
Content classification
Multi-language support
Advantages:
Robust natural language processing capabilities powered by Google’s AI technology
Easy-to-use API for developers
Strong support for multiple languages
Integration with other Google Cloud services
Disadvantages:
Limited options for non-developers
Pricing can be expensive for large-scale usage
Free Trial: Yes, $300 credit for new users
Pricing: Pay-as-you-go pricing based on usage
Microsoft Azure Text Analytics
Microsoft Azure Text Analytics is a cloud-based text analytics solution that offers a suite of NLP services for extracting insights from unstructured data.
It provides sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Microsoft Azure Text Analytics also offers advanced features, such as opinion mining and Personally Identifiable Information (PII) detection, ensuring a comprehensive analysis of your text data.
Key Features:
Sentiment analysis with opinion mining
Key phrase extraction
Named entity recognition
Language detection
PII detection
Advantages:
A comprehensive suite of text analytics and natural language processing tools
Easy-to-use API for developers
Integration with other Microsoft Azure services
Strong support for multiple languages
Disadvantages:
Limited options for non-developers
Pricing can be expensive for large-scale usage
Free Trial: Yes, 12 months of free services for new users
Pricing: Pay-as-you-go pricing based on usage
RapidMiner
RapidMiner is a versatile text analytics software that combines advanced analytics, machine learning, and data integration capabilities.
It offers an easy-to-use visual workflow designer and pre-built templates, making building and deploying text analytics models simple.
RapidMiner supports multiple data sources, including databases, spreadsheets, and online sources, allowing you to analyze data from various channels.
Key Features:
Visual workflow designer
Pre-built templates
Support for multiple data sources
Advanced analytics capabilities
Integration with other RapidMiner products
Advantages:
Robust data preprocessing and modeling capabilities
Easy-to-use graphical user interface
Extensive library of pre-built operators and algorithms
Integration with other popular analytics tools, like Tableau and PowerBI
Disadvantages:
The steep learning curve for beginners
Limited support for real-time analytics
Free Trial: Yes, 14-day free trial
Pricing: Starts at $2,500/year for the base version
Lexalytics
Lexalytics is a powerful text analytics platform that offers a wide range of text analysis and NLP features.
It specializes in sentiment analysis, entity extraction, theme discovery, and categorization.
Lexalytics supports multiple languages and industries, making it a versatile solution for businesses of all sizes.
The platform can be deployed on-premises or in the cloud, providing flexibility for your organization’s needs.
Key Features:
Sentiment analysis
Entity extraction
Theme discovery
Categorization
Multi-language and industry support
Advantages:
Advanced natural language processing capabilities
Customizable sentiment analysis and entity extraction
Strong support for multiple languages
API access for developers
Disadvantages:
Limited data visualization options
No native support for big data platforms
Free Trial: Yes, 14-day free trial
Pricing: Starts at $1,000/month
Aylien Text Analysis API
Aylien Text Analysis API is a powerful text analytics tool for developers and businesses looking to integrate advanced text analysis capabilities into their applications or services.
With its easy-to-use API, you can access a wide range of NLP features, including sentiment analysis, entity recognition, summarization, and classification.
Aylien supports multiple languages and offers excellent documentation, making it a perfect choice for developers looking to build custom text analytics solutions.
Key Features:
Sentiment analysis
Entity recognition
Summarization
Classification
Multi-language support
Advantages:
Easy-to-use API for developers
Extensive library of pre-built models and algorithms
Support for multiple languages
Strong focus on news and social media analytics
Disadvantages:
Limited options for non-developers
No native support for big data platforms
Free Trial: Yes, 14-day free trial
Pricing: Starts at $199/month for the Basic plan
MonkeyLearn
MonkeyLearn is a user-friendly text analytics platform that focuses on providing easy-to-use machine learning tools for businesses.
With its intuitive interface, you can quickly create custom text analysis models without any programming knowledge.
MonkeyLearn offers pre-built modules for sentiment analysis, keyword extraction, and topic classification, among others, making it an excellent choice for businesses looking for a simple yet powerful text analytics solution.
Key Features:
No-code machine learning
Sentiment analysis
Keyword extraction
Topic classification
Integration with popular tools like Zapier and Google Sheets
Advantages:
User-friendly platform for creating custom machine-learning models
Pre-built models for everyday text analytics tasks, like sentiment analysis and keyword extraction
API access for developers
Integration with popular tools like Zapier and Google Sheets
Disadvantages:
Limited support for big data platforms
Pricing can be expensive for large-scale usage
Free Trial: Yes, a limited free plan is available
Pricing: Starts at $299/month for the Team plan
Rosette Text Analytics
Rosette Text Analytics is a comprehensive text analytics platform that leverages machine learning and linguistic analysis to provide valuable insights from unstructured text data.
It supports 30+ languages and offers many features, including entity extraction, sentiment analysis, relationship extraction, and language identification.
Rosette Text Analytics can be deployed on-premises or in the cloud, providing flexibility for your organization’s requirements.
Key Features:
Entity extraction
Sentiment analysis
Relationship extraction
Language identification
Multi-language support
Advantages:
Advanced natural language processing capabilities
Customizable sentiment analysis and entity extraction
Strong support for multiple languages
API access for developers
Disadvantages:
Limited data visualization options
No native support for big data platforms
Free Trial: Yes, 30-day free trial
Pricing: Starts at $1,000/month
Knime Analytics Platform
Knime Analytics Platform is an open-source data analytics tool that offers powerful text analytics capabilities through its Text Processing extension.
With its visual workflow editor, you can easily create, test, and deploy text analytics models without writing code.
Knime supports a wide range of data sources and offers numerous pre-built nodes for everyday text analytics tasks, making it a versatile solution for businesses of all sizes.
Key Features:
Visual workflow editor
Text Processing extension
Support for multiple data sources
Pre-built nodes for everyday tasks
Open-source and extensible
Advantages:
Open-source platform with a large community of users
Extensive library of pre-built nodes and workflows
Integration with popular analytics tools, like R and Python
Strong support for big data platforms
Disadvantages:
The steep learning curve for beginners
Limited options for real-time analytics
Free Trial: N/A, open-source software
Pricing: Free
Textable
Textable is an open-source text analytics tool designed for qualitative data analysis.
Its user-friendly interface allows you to easily import, analyze, and visualize textual data without programming knowledge.
Textable offers various features, such as text segmentation, keyword extraction, and co-occurrence analysis, making it an excellent choice for researchers and businesses focused on qualitative data analysis.
Key Features:
User-friendly interface
Text segmentation
Keyword extraction
Co-occurrence analysis
Open-source and free to use
DataRobot
DataRobot is an automated machine learning platform that offers advanced text analytics capabilities through its NLP features.
With its AutoML technology, you can quickly build and deploy text analytics models without machine learning or programming expertise.
DataRobot supports multiple data sources and offers features such as sentiment analysis, topic modeling, and document classification, making it a powerful tool for businesses looking to harness the power of their text data.
Key Features:
Automated machine learning
Sentiment analysis
Topic modeling
Document classification
Support for multiple data sources
Advantages:
A comprehensive suite of AI and machine learning tools
User-friendly interface for creating and managing analytics projects
Integration with popular data sources, like Hadoop and Spark
Robust support and documentation
Disadvantages:
High pricing for small businesses
Limited customization options
Free Trial: Yes, contact DataRobot for a free trial
Pricing: Contact DataRobot for a custom quote
MeaningCloud
MeaningCloud is a cloud-based text analytics platform that offers a wide range of NLP services through its API.
With its comprehensive feature set, you can perform sentiment analysis, entity extraction, classification, and topic modeling, among other tasks.
MeaningCloud supports multiple languages and offers industry-specific models, making it a versatile solution for various business sectors.
Key Features:
Sentiment analysis
Entity extraction
Classification
Topic modeling
Multi-language support
Advantages:
User-friendly platform for text analytics and natural language processing
Pre-built models for everyday text analytics tasks, like sentiment analysis and keyword extraction
Support for multiple languages
API access for developers
Disadvantages:
Limited support for big data platforms
Pricing can be expensive for large-scale usage
Free Trial: Yes, a limited free plan is available
Pricing: Starts at $99/month for the Professional plan
Selecting the right text analytics software for your business can be daunting, but investing in a solution that aligns with your specific needs and goals is essential.
This comprehensive buyer’s guide has provided you with the top 12 best text analytics software of 2023, each with unique features and strengths.
Before deciding, consider factors such as ease of use, scalability, integration with existing systems, language support, and the specific text analytics tasks your organization requires.
Also, take advantage of free trials and demos to gain hands-on experience with each platform and determine the best fit for your business.
By choosing the right text analytics software, you can unlock the potential of your unstructured text data, streamline decision-making processes, gain valuable insights, and maintain a competitive edge in today’s data-driven business landscape.