Here you can analyze any URL or text using our Text Analysis API.

Some ideas to try:

    Article Extraction Documentation

    Extracts the main text of article (including author name), plus embedded media such as images & videos from an URL and removes all the surrounding clutter.

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    Concept Extraction Documentation

    Extracts named entities mentioned in a document, disambiguates and cross-links them to DBPedia and Linked Data entities, along with their semantic types (including DBPedia and schema.org).

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    Entity Extraction Documentation

    Extracts named entities (people, organizations, products and locations) and values (URLs, emails, telephone numbers, currency amounts and percentages) mentioned in a body of text.

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    Summarization Documentation

    Summarizes an article into a few key sentences.
    Please note that Summarization takes either an URL or a title and text combination. For this demo, if you're providing text, you must put the title on the first line of the text box above.

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    Classification Documentation

    Classifies a piece of text according to IPTC NewsCode standard into more than 500 categories.

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    Sentiment Analysis Documentation

    Detects sentiment of a document in terms of polarity (positive or negative) and subjectivity (subjective or objective).

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    Hashtag Suggestion Documentation

    Automatically suggests hashtags for better discovery of content on Social Media.

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    Language Detection Documentation

    Detects the main language a document is written in and returns it in ISO 639-1 format, from among 76 different languages.

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