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. Semantic analysis API can help bloggers, publishing and media houses to write more engaging stories by retrieving similar articles from the past quickly, and news aggregators to combine similar news from different sources to reduce clutter in the feeds of their readers.

Sign up

Try the demo.

enter a text
Relatedness

Why our Semantic Analysis API ?

Accurate

Provide normalized confidence score on a scale of 0 to 5 to support varying levels of similarity thresholds (very similar to completely dissimilar).

Fast

Returns similarity score between two documents instantly and suited to build applications like recommendation engines, chatbots or semantic search.

Customizable

ParallelDots semantic similarity algorithm can be trained in an unsupervised fashion allowing you to customize it on your dataset and improve the accuracy.

How Our Semantic Analysis API Works?

Semantic similarity API understands relatedness between different pieces of text. It helps in comparing the structure and meaning of the text which can be used to extract similar text and phrases from corpus.

Our API converts textual information to its corresponding document embeddings and the cosine similarity between the two embeddings is scaled to provide the result. The document embeddings are made using Recursive Auto Encoders. These encoders try to reconstruct the given sentences to determine their respective document embeddings.Semantic Similarity API provides a score on a range of 0-5 (0-Not similar, 5-Almost same)

use cases

Creating more compelling content through semantic publishing

Semantic analysis API can help bloggers, publishing and media houses in building recommendation engines. By analyzing the similarity of current articles with other articles in the archive, publishers can surface more contextual content to the users and improve key metrics like CTR, Time on Page, etc.

Chatbot Applications

Semantic API can be used to build Chatbots by analyzing the similarity of a user’s query with an existing database of question-answer pairs (FAQs). Such a technique of building chatbots can scale well to eventually support complex queries and can be an alternative to intent-based chatbot platform like Dialogflow.

Pricing

(30-day subscription)

Starter $49

60K hits/day
(60 API hits/minute)

Standard $149

15K hits/day
(120 API hits/minute)

Business $299

1M hits/month
(180 API hits/minute)

Enterprise

Need more API hits and Rate Limit?

Contact Sales

Get Started

Sign Up for a free account

Interested in integrating with our APIs? Sign up now.

Sign up
Custom Solutions

Want to train your own custom model? Contact Sales to get started

Contact Sales

Integration

For Developers

Ready to integrate? Check out our API wrappers.

API Wrappers
For Analyst

Checkout our Text Analysis plugins to analyze your textual data without writing any code.

Google Sheets add-on MS Excel add-in

You might also be interested in these APIs

Custom classifier

Classify your text by providing catgories.

Demo
Language detection

Get language of text.

Demo
Abusive Analysis

Check whether text is abusive or not.

Demo