Best Text Analysis Software Tools

In our big data era, best content analysis software programs (also called document analysis tools or text mining software) are more than crucial.

They help you to examine almost any type of unstructured text data such as business documents, emails, social media, chats, comments, news, blogs, competitor websites, marketing surveys questions, customer feedbacks, product reviews, call center transcripts and even scientific documents.




They come in many forms: premium or free online text analysis tools, on-premise document analysis software for MAC and Windows and etc.

On this page, we collected 10 of the top software for content analysis to allow you gain valuable insights from a large amount of unstructured data.

1. Word Stat

WordStat is a flexible and very easy-to-use content analysis and text mining software tool for handling large amounts of data. It helps you to quickly extract themes, patterns, and trends and analyze unstructured and structured data from many types of documents.

You can use Word Stat for a wide variety of content examing activities such as: analysis of interview or focus group transcripts, competitive websites analysis, business intelligence, information extraction from customer complaints and etc.

In addition, Word Stat can analyze news coverage or scientific literature or can help you in fraud detection, patent analysis, and authorship attribution.

Key Benefits and Features:

  • Text processing capabilities.
  • Integrated explanatory text mining and visualization tools such as clustering, proximity plots, and more.
  • Relates unstructured to structured data such as dates, numbers or categorical data for identifying temporal trends.
  • Univariate keyword frequency analysis.
  • Keyword retrieval function and keyword co-occurrence analysis.
  • Analysis of case or document similarity.
  • Automated text classification and many others.

Operating Systems: Microsoft Windows XP, 2000, Vista, Windows 7, 8 and 10, Mac OS, Linux.

Website: https://provalisresearch.com/

2. Lexalytics

When it comes to the best content analysis software and tools, Lexalytics definitely has a top place here.

Lexalytics makes cloud and on-premise text and sentiment analysis solutions that help you to transform customers’ thoughts and conversations into valuable and actionable insights.

Lexalytics’ products SaaS Semantria and on-premise Salience are integrated into platforms for social media monitoring, survey analysis, reputation management, market research, and many other content analysis activities.

Key Benefits and Features:

  • Named entity extraction for identifying named text figures such as people, places, and brands, specific abbreviations, street addresses, phone numbers and whatever else you want.
  • Themes to deals with multiple meaning words.
  • Categories.
  • Intentions such as Buy, Sell, Recommend, and Quit.
  • Sentiment analysis to show you how consumers feel about their subject.
  • Natural language processing engine.

Salience is available for Microsoft Windows and Linux servers. Semantria API is for analyzing documents in the cloud.

Website: https://www.lexalytics.com

3. DiscoverText

They are some kind of innovators. DiscoverText combines adaptive software algorithms with human-based coding for conducting large-scale analyses.

The software can merge unstructured data from different sources. Examples of unstructured data are different documents and text files, open-ended answers on surveys, emails, and other offline and online text sources.

With one platform, you can maintain your data quality metrics, you can capture, filter, de-duplicate, search, cluster, human code, and machine-classify large numbers of small text units.

Key Benefits and Features:

  • Advanced, multi-faceted power tool for text analysis.
  • Schedule repeat fetches of live feeds via API.
  • Classification via automation and manual training.
  • Attach memos to documents and datasets.
  • Redact sensitive information.
  • Connect and work with the team via your browser.
  • Generate high-level summary.
  • Build topic models to automate.
  • Enjoy a cloud-hosted application.
  • Share projects, re-use models, and update results.

Website: https://discovertext.com

4. Rapid Miner Text Extension

If you are searching for the best free content analysis software, Rapid Miner Text Extension worth considering. It is an extension of the popular free and open source data science software platform – Rapid Miner.




Rapid Miner Text Extension has it all for statistical text analysis and Natural Language Processing (NLP). It allows you to load texts from a variety of data sources and documents, transform them and effortlessly analyze your content.

Key Benefits and Features:

  • Supports many text formats including plain text, HTML, or PDF.
  • Provides standard filters for tokenization, stemming, stop word filtering or n-gram generation.
  • Document class that stores the whole documents in combination with additional meta information.
  • Statistical text analysis.

You have to be a member of the RapidMiner community to use their Text Extension. You can join the community and use all the RapidMiner extensions for free.

Website: https://marketplace.rapidminer.com/

5. SAS Text Miner

No doubt that SAS is one of the biggest names in the business intelligence and data mining industry. Their Text Miner product can bring you fast and deep insight from a wide variety of unstructured documents and other data types.

The software allows you easily analyze text data from the web, books, comment fields, and many other text sources. The tool automatically reads text data and deliver advanced analysis algorithms to help you catch trends and take new opportunities.

Key Benefits and Features:

  • High-performance text mining to help you quickly evaluate a large number of document collections.
  • Processing interface conforms to Windows accessibility standards.
  • Automatic Boolean rule generation to easily classify content.
  • Term profiling and trending.
  • Document theme discovery.
  • Native support for multiple languages.
  • Determine what’s hot and what’s not.

Website: https://www.sas.com

6. Text2data

Text2data is a great product for those who are looking for affordable text mining and content analysis software.

This is an NLP/ Deep Learning (Natural Language Processing) platform with proprietary algorithms that provide cloud-based text analytics services for understanding your customers better.

No matter if you want to analyze social media, emails, free-text survey questions or other sources of information about your customers’ experiences, the system got you covered.

Key Benefits and Features:

  • Sentiment analysis to identify and extract subjective information in a text document.
  • Text/ Document summarization.
  • Document classification based on pre-trained data models.
  • Entity extraction as the names of persons, organizations, locations etc.
  • Themes discovery that can significantly improve the inferring context of the document.
  • Keyword analysis of the documents and assigning the sentiment score to them.
  • Citation detection.
  • Slang detection.

Website: http://text2data.org/

7. Etuma

Etuma Text Analysis is one of the top content analysis software tools able to turn your open-ended customer feedbacks into actionable information.

Etuma serves a wide variety of business domains such as customer experience management, competitor analysis, market analysis and intelligence, contact centers, sentiment analysis, voice of the customer (research surveys), social media monitoring, employee engagement, and chat analysis.

Etuma discovers in real-time what your customers like and dislike about your products. Etuma is a SaaS product that runs in the cloud.

Key Benefits and Features:

  • Multi-language – understand several languages – results in one language.
  • Automatic software with no human work. It uses Natural Language Processing (NLP) and Artificial Intelligence.
  • Consistent – relevant industry-specific categorization.
  • Discovers in real-time what your customers like and dislike.
  • Can analyze any type of feedback.
  • Easy to integrate – the tool has connectors to a variety of survey, contact center, and customer experience management platforms such as Salesforce, Zendeck and etc.
  • A large number of text analysis and text mining functions such as syntactic parsing, word count, tokenization roots, word stemming, end of sentence detection, part of speech (POS) identifications, spelling correction, synonyms, semantic topic, sentiment detection and etc.

Website: www.etuma.com

8. Luminoso

Luminoso is a great text mining and analysis tool that deals with a large number of unstructured data to enable you to quickly surface key topics, identify the conversations that matter, tab into customer services, and track trends over time.

This easy to use tool allows you to quickly explore and analyze data like open-ended survey responses, product reviews, and call center transcripts.

The software uses the latest methods in artificial intelligence and natural language understanding to help you in a variety of business challenges like understanding key drivers behind NPS scores and classifying customer support tickets.

Key Benefits and Features:

  • Quickly uncover high-value insights in your text data.
  • Can natively analyze data in 13 languages, including English, Arabic, Chinese, Spanish, and Russian.
  • Within minutes, Luminoso Text Analytics identifies key topics, meaningful connections, and trends.
  • Latest methods in artificial intelligence and natural language understanding.
  • Flexible outputs and intuitive dashboards that make reporting and sharing easy
  • Analyzing contact center data.
  • Uncover connections between employees’ engagement levels and customers’ satisfaction.
  • Understand caregiving needs by analyzing text data from online communities.

Website: https://luminoso.com

9. Pingar DiscoveryOne

Pingar DiscoveryOne is a content analysis software designed to let enterprises discover opportunities and risks hidden in the text of web and corporate data.

It can help you reduce the cost of document storage and security. This powerful text analytics engine is able to show you relevant summaries of articles, feeds from social channels, reports, or even inbound customer email complaints.

Pingar DiscoveryOne aims to indicate trends, topics, and issues exposed in different types of documents, posts, articles, and emails.

Key Benefits and Features:

  • Content Intelligence solution that quickly identifies key market data and identifies trends over time.
  • Based on machine learning and can be uniquely adapted to any industry.
  • Can constantly crawl the internet in order to find relevant information for monitoring competitors, emerging trends and analyzing target markets.
  • Improves search, enable defensible deletion and identify document security risks.
  • Shows reports with graphs displaying important relationships.
  • Combines social, news, blogs, forums, chats, emails and documents into same analysis.
  • Can read your documents and categorize them according to your needs.
  • Can detect networks, relationships, and their importance.
  • Media and sentiment analysis and etc.

Website: http://pingar.com/

10. MeaningCloud

MeaningCloud is one of the easiest and most affordable content analysis software tools that can extract the meaning from any text source: social conversation, posts, emails, articles, business documents and etc.

You can analyze customer feedback through email, social media, call center, surveys, tweets and comments and any other communication channel. You can handle your content publishing, social media analysis, document coding, and management.

MeaningCloud is an in-cloud solution without a need to install it on your computer.

Key Benefits and Features:

  • Combines the advanced features: feature-level sentiment analysis, social media language processing and etc.
  • Very easy to use and integrate.
  • Multiple languages – you can analyze contents in English, Spanish, French, Portuguese or Italian.
  • Affordable – you pay only for what you use.
  • The tool automatically classifies documents of any type (medical records, notes, claims, etc.).
  • Very customizable content analysis software.
  • Voice of the Customer analysis, customer experience management, content publishing, and monetization.

Conclusion:

Picking the best content analysis software and text data mining tools for your needs isn’t an easy process.

Despite there is a plenty of good options available on the market that combines advanced technologies (such as artificial intelligence and natural language understanding), there might be no a single perfect solution.




Unstructured data is one of the most powerful weapons that can bring hidden and even unexpected values to your business.

Before choosing your text analysis software solution, you should examine your content analysis needs first. Depending on your business size, it might be a significant research project.

A comprehensive analysis of text data adds a high level of intelligence and gives you decision support at any scale, opportunities, competitive advantages, and increased work efficiency.

So, take your time to examine your needs and define the software features you need and then go for the solution.

What are your suggestions for good software for content analysis and text data mining tools? Share your thoughts and experience in the comment area below.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.