I will extract insights from text data using nlp and topic models

The unstructured text data is becoming key source of information for business and new knowledge creation. However, to extract insight and information from such text and insight rich data, a careful method of natural language processing (NLP) needed to be employed.

In this gig, I shall help client to extract such key insights from the unstructured and text data using state of art of NLP methods. More specifically, following key aspects will be undertaken

Pre-processing: All non-linguistic noise will be handled professionally using framework such as regex.

Processing: The key feature using method such as bag of words or TFIDF will be extracted. These features informs researcher about latency and completeness of data.

Analysis: The data will be analyse to measure various key variable such as sentiment, emotional tone, hate, love and others.

Model development: For custom variable measurement and context adoption, state of art model can be trained/finetuned using pre-trained hugging face model.

LLM integration: The LLM can also be integrated by leveraging their unique and powerful architecture using innovative prompts to extract insights.