Remove the challenges of dealing with textual content by using our Natural Language Processing engine. Our text analysis API allow users to run complex Text Analysis functions with short and simple lines of code.
Text Analysis API Endpoints
Summarizes a valid input content and returns the highest ranked sentences from the text. These sentences in the order of appearence in the main text are then combined, which represents the most weighted sentences of the text also called summary.
The endpoint takes as input the text that needs to be analyzed and returns with the probability the language in which the text is written. If the text contains multiple language, the response is an array of objects each specifying the language detected and the corresponding probability.
This endpoint takes as input text in english language, and evaluates if the overall sentiment of the text is positive, negative, or neutral. This sentiment along with the score obtained is returned in response as JSON object. The main value which reflect sentiment of a text is score which could be below zero - mostly negative sentiment or above zero - mostly positive. We convert continuous score to three classes negative sentiment (score<=-0.58), neutral (-0.58