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Natural Language Processing (NLP) Software with Data Visualization (2026)

Last updated: January 2026

Natural Language Processing (NLP) Software Key Features

    Based on 80 user opinions, we identified 6 features that are important for any product in Natural Language Processing (NLP) Software

  • Text Analysis

    Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc

    Average user rating

    4.7

  • Topic Classification

    Identify recurrent themes or topics

    Average user rating

    4.5

  • Data Extraction

    Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

    Average user rating

    4.8

  • Search/Filter

    Search and filter data across systems to locate required information by entering keywords or certain criteria

    Average user rating

    4.5

  • Multi-Language

    Manage and support multiple languages

    Average user rating

    4.6

  • Speech Recognition

    Train your system to interpret and transcribe voice messages

    Average user rating

    5.0
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36 software options

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Atribus is a cloud-based consumer intelligence tool that allows users to monitor mentions related to influencers, topics, brands, or other keywords across websites, blogs, forums, social networks, digital newspapers, and more. It allows users to create custom alerts for specific keywords, which can then be used to monitor conversations about a br
Every day, consumers around the world talk about your products, brands and competitors. Be the first to discover new trends and make smarter decisions!

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Text analysis with machine learning

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MonkeyLearn is a cloud-based text analytics solution that extracts data from emails, surveys, tweets, or any text and turns it into custom visualizations. The platform provides insights and workflow automations for support, product, customer experience (CX), and development teams.

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Gavagai is a text analytics tool designed to help businesses of all sizes collect and analyze unstructured data using machine learning (ML) and natural language processing (NLP) algorithms. The interactive dashboard allows managers to add data to existing projects by uploading CSV or Excel files.

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IBM Watson Discovery is an AI-powered enterprise search solution, which provides features such as categorization, visual discovery, specific passage responses, tagging, sentiment analysis, natural language search, topic classification, cataloging, machine learning, and grouping.

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