Text Analytics API Reference

A comprehensive collection of text analytics endpoints that include text summarization, classification, named entity relationship (NER) extraction etc.

The new generation of large language models (LLMs) such as GPT3, GPT4, and ChatGPT/GPT 3.5 have revolutionalized the way we analyze text data.

Out base level text classification endpoint includes few dozen topic labels; however if you are interested a more granular text classifier that contains IAB/IPTC + custom taxonomy) that contains over 1900 topics, please email us at info@specrom.com

Our comprehensive text analytics endpoints uses the latest GPT-J and/or GPT3.5/GPT4 models on the back end to analyze all aspects of the news articles.


Text Language Detection

A Job Scanner API endpoint for detecting the language of the input text.

Named Entity Extraction

Extract Named Entities from the input text using our API endpoint.

Summarize Job Descriptions

This endpoint will generate a summary of the entered text. It uses a state of the art LLM based abstractive summarization model.

Jobs Classification

Input the fulltext of job description and to classify jobs based on education level, job function, seniority level using our state of the art AI model.

Keyword or Keyphrase Extraction

A JobScanner endpoint for extracting keywords or keyphrases from the input text.