Sentiment Analysis and Opinion mining API Demo| Paralleldots

Sentiment Analysis

Analyze the sentiment of content on social networks, customer feedbacks and surveys

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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.

How our Sentiment Analysis API works?

Sentiment analysis API provides a very accurate analysis of the overall emotion of the text content incorporated from sources like Blogs, Articles, forums, consumer reviews, surveys, twitter etc. Sentiment Analysis can be widely applied to reviews and social media for a variety of applications, ranging from marketing to customer service.

It uses Long Short Term Memory (LSTM) algorithms to classify a text blob's sentiment into positive and negative. LSTMs model sentences as chain of forget-remember decisions based on context. It is trained on social media data and news data differently for handling casual and formal language. We also have trained this algorithm for various custom datasets for different clients.

Sentiment Analysis Use cases

Sentiment Analysis can come out as the ultimate tool for marketing. You can leverage the power of sentiment analysis to read and analyze the sentiments of online conversation about your brand. It can also provide a fast solution to categorize your product reviews. You can identify influencers and categorize them as advocates or detractors of your brand. Additionally, Sentiment Analysis can aid you in market and competitive research.

Why Our Sentiment Analysis API


Highly accurate classification of unstructured textual data

Real Time

State of the art technology to provide accurate results real-time


Can be trained on custom dataset to obtain similar accuracy and performance

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