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nlu-engine

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public-sentiment-analysis-based-on-twitter-hashtags

This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.

  • Updated Jan 9, 2022
  • Jupyter Notebook

Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

  • Updated Apr 29, 2023
  • Jupyter Notebook

One of the main NLU tasks is to understand the intents (sequence classification) and slots (entities within the sequence). This repo help classify both together using Joint Model (multitask model). BERT_SMALL is used which can be changed to any other BERT variant.

  • Updated Jun 22, 2022
  • Python

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