Compare the Top Text Mining Software that integrates with Elasticsearch as of July 2025

This a list of Text Mining software that integrates with Elasticsearch. Use the filters on the left to add additional filters for products that have integrations with Elasticsearch. View the products that work with Elasticsearch in the table below.

What is Text Mining Software for Elasticsearch?

Text mining software is a type of software that uses natural language processing (NLP) and machine learning to analyze text data. It can aid in collecting, analyzing, and organizing unstructured data from websites, emails, documents, and other sources for various applications. Text mining software has the capability to crawl web page content or conduct keyword searches to retrieve relevant information. Depending on the purpose, it can also identify relationships between topics or extract terms from different languages. Compare and read user reviews of the best Text Mining software for Elasticsearch currently available using the table below. This list is updated regularly.

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    NetOwl TextMiner
    NetOwl TextMiner combines our award winning NetOwl Extractor with Elasticsearch to provide unique text analytics software. TextMiner leverages all aspects of NetOwl capabilities and is ideal for supporting “what if” analysis, discovery, quick response investigation, and detailed research. NetOwl TextMiner integrates all text analytics capabilities of NetOwl Extractor, including entity extraction, relationship, and event extraction, sentiment analysis, text categorization, and geotagging into all-encompassing text mining software. Extractor output is stored in Elasticsearch for a variety of intelligent search and analytic capabilities. The combination of Elasticsearch and NetOwl provides fast and scalable real-time text analysis for Big Data. TextMiner’s Web-based UI is an easy to use and configurable text analytics tool for different analysis scenarios and enables users to gain quick access to all and only high-value information derived from a vast amount of texts.
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