Compare the Top Text Analytics Software in Japan as of October 2026

What is Text Analytics Software in Japan?

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 in Japan currently available using the table below. This list is updated regularly.

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    Kimola Cognitive
    Kimola Cognitive is a rock-solid Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Here are the TOP skills of Kimola Cognitive: - Scrape Web and Collect Reviews - Text Analysis with Entity Recognition - Analyze Data with Pre-Built models on Kimola Cognitive Gallery - Create, Train and Store Your Own Custom Models (No Coding Skills are Required) - Create Executive Summary, Generate SWOT Analysis and many powerful marketing materials using GPT Integration - Available in 6 languages (and counting!)
    Starting Price: $199 / 10000 Queries / month
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    Netigate

    Netigate

    Netigate

    Netigate is a feedback platform that allows you to collect and manage valuable business insights using online surveys. Specialising in Voice of the Customer and Voice of the Employee feedback, Netigate is the complete GDPR-compliant solution for companies of all sizes. We combine a user-friendly survey platform with in-house expertise to bring you advanced data analysis, numerous survey distribution methods, real-time reporting, expert-crafted templates, text analysis for open-text-answers and much more.
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    Amenity Analytics

    Amenity Analytics

    Amenity Analytics

    Our NLP uncovers insight from text at scale with an accuracy that is unrivaled in the industry and with the flexibility to integrate into your specific business and workflow requirements. Achieve meaningful, repeatable results. Many of our models in production achieve greater than 90% accuracy in precision and recall. Compared with the industry average of 68%, it’s no surprise why Amenity’s NLP is trusted by some of the largest players across multiple industries. Extract value-relevant text, while ignoring noise. Our NLP extracts, distills, and structures text from millions of documents into actionable business insights. It determines the context and meaning of text and how they might change from the phrase to the paragraph. Transform any source of text into industry-specific analysis and sentiment tied to business events with a clear view on the “why” behind the results. No black boxes here. Our NLP is configurable to what you need and where you need it.
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    Google Cloud Natural Language API
    Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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