Text analysis for smarter decision-making

TEXT ANALYSIS APIs DEMO

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.

Demo

Sentiment:

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.

Demo

Sentiment:

Keyword Extractor

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.

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:


Entity Extraction

Entity Extraction 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:


Place:
Name:
Group:

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

4.09

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.

Demo

Emotion: happy


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.

Demo

Intent: news


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.



Demo

Content is : Non Abusive


Reference Parser

Find the relevant entities in the references of any journal which can lead to better search experience of the researchers.



Demo

AuthorName:
JournalTitle:
ArticleTitle:
Volume:
PageNumber:
Year:

Dependency Parser

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

Demo


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