Text analysis for smarter decision-making

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.

Demo

Positivity : 96%

Multilingual Sentiment Analysis

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

Demo

Sentiment:

Keyword Generator

Keyword Generator are powerful tools 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.

Demo




Keywords


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

Demo




Our suggested tags


NER

Named-entity recognition(NER) 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.

Demo




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.

Demo





Relatedness

4.93

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, Fearful, Excited, Funny or Indifferent.

Demo

Emotion: happy


Intent Analysis

This classifier tells whether the underlying intention behind a sentence is opinion, news, marketing, complaint, suggestion, apprectiation, query. This is trained on our proprietary dataset.

Demo

Intent: news


Abusive Content Classifier

Abusive Content Classifier.

Demo

Content is : Non Abusive


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