Text analysis is the process of derivation of high end information through established patterns and trends in a piece of text. Using cutting edge techniques of Deep Learning like LSTMs, Transfer Learning, etc. our Text Analysis APIs perform significantly better than traditional NLP techniques. Combine our Text Analysis APIs to solve complex problems such as building chatbots, social media analytics, process automation, etc.

sentiment analysis

Understand the social sentiment of your brand, product or service while monitoring online conversations. Sentiment Analysis is contexual mining of text which identifies and extracts subjective information in source material.

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Positive

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Neutral

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Negative

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multilingual sentiment analysis

Understand the underlying tone of the message for sentences in Spanish, Portuguese and Chinese. We will add more languages over time, watch this space.

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Neutral

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Negative

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text classification (taxonomy)

Text Classification can be useful in understanding customer behaviour by categorizing conversations on social networks, feedback and other web sources. Search engines, newspapers, or e-commerce portals categorize their content or products to facilitate the search and navigation.

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Our suggested tags:

keyword generator

Keyword Extractor is a powerful tool in text analysis that can be used to index data, generate tag clouds and accelerate the searching time. It generates an extensive list of relevant keywords and phrases to make research more context focussed.

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Keyword
Phrases
keywords

Named Entity Recognition

Named Entity Recognition can identify individuals, companies, places, organization, cities and other various type of entities. API can extract this information from any type of text, web page or social media network.

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Named Entities

semantic analysis

Semantic Analysis API helps users cluster similar articles by understanding the relatedness between different content and streamlines research by eliminating redundant text contents.API can help bloggers, publishing and media houses to write more engaging stories by retrieving similar articles from past quickly, and news aggregators to combine similar news from different sources to reduce clutter in the feeds of their readers.

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Relatedness
4.09

emotion analysis

Sometimes the three classes of sentiment (positive, negative and neutral) are not sufficient to understand the nuances regarding the underlying tone of a sentence. Our Emotion Analysis classifier is trained on our proprietary dataset and tells whether the underlying emotion behind a message is: Happy, Sad, Angry, Excited or Indifferent.

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Happy

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Angry

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Excited

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Sarcasm

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Sad

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Fear

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intent analysis

This classifier tells whether the underlying intention behind a sentence is news, marketing, feedback or query. This is trained on our proprietary dataset.
Our intent API is widely used to build customer service chatbots in banking, finance and airline industry.

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News

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Feedback

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Query

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Marketing

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Spam

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ABUSIVE CONTENT CLASSIFIER

Protect abusive and offensive language in your forums or portals. This API identifies offensive language with 98% accuracy and helps you in fighting online abuse and spam.

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Abusive

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Non Abusive

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dependency parser

Extract linguistic features like part-of-speech tags and dependency labels in raw, unstructured text.

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