Best Text Analytics Software for Python

Compare the Top Text Analytics Software that integrates with Python as of June 2025

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

What is Text Analytics Software for Python?

Text analytics software is a type of software used to extract and analyze data from text-based sources. It can be used to uncover meaningful patterns, trends, and insights from large amounts of unstructured data. Text analytics software typically combines natural language processing (NLP) and machine learning techniques to identify desired entities such as people, organizations, locations, topics, or sentiment. This technology can be used in a variety of industries such as healthcare, retail, finance and marketing for purposes like customer feedback analysis or opinion mining. Compare and read user reviews of the best Text Analytics software for Python currently available using the table below. This list is updated regularly.

1

Hyland Document Filters

Hyland Software

Document Filters is an SDK that can be leveraged for various applications, such as content indexing, e-discovery, data migration, feeding data into AI/ML models and much more by extracting data from unstructured sources. It gives software developers the ability to perform deep inspection, data extraction, output manipulation and conversion for virtually any type of document and language.

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2

binds.co

binds.co

Responsive questionnaires designed to provide a personalized experience, whether on mobile or desktop. Customers give very powerful feedback through unstructured survey text. The Text Analysis Tool uses Artificial Intelligence techniques to automatically analyze these text feedbacks, so you can understand the most critical points of the journey. Engage customers, employees and managers, and increase customer response time with automatic customer journey alerts by email or SMS. With Close the Loop Chat You can meet the real-time demands of customer satisfaction survey responses. The news is that this feature allows the company to interact with the consumer through a chat, available on the platform, and the customer receives feedback in their email as in a conversation.

Starting Price: $50.99 per month

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3

Lexalytics

Lexalytics

Integrate our text analytics APIs to add world-leading NLP into your product, platform, or application. The most feature-complete NLP feature stack on the market, 19 years in development and constantly being improved with new libraries, configurations, and models. Determine whether a piece of writing is positive, negative, or neutral. Sort and organize documents into customizable groups. Determine the expressed intent of customers and reviewers. Find people, places, dates, companies, products, jobs, titles, and more. Deploy our text analytics and NLP systems across any combination of on-premise, private cloud, hybrid cloud, and public cloud infrastructure. Our core text analytics and natural language processing software libraries are at your command. Suitable for data scientists and architects who want complete access to the underlying technology or who need on-premise deployment for security or privacy reasons.

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4

Salience

Lexalytics

Text analytics and NLP software libraries for on-premise deployment or integration. Integrate Salience into your enterprise business intelligence architecture or white label it inside your own data analytics product. Salience can process 200 tweets per second while scaling from single process cores to entire data centers with a small memory footprint. Use Java, Python, .NET/C# bindings for higher level ease or the native C/C++ interface for maximum speed. Enjoy full access to the underlying technology. Tune every text analytics function and NLP feature, from tokenization and part of speech tagging to sentiment scoring, categorization, theme analysis, and more. Built on a pipeline model of NLP rules and machine learning models. When issues arise, see exactly where they are in the pipeline. Adjust specific features without disrupting the larger system. Salience runs entirely on your servers while staying flexible enough to offload insensitive data to cloud servers.

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