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NLP Research Lab
PythonNLTKTensorFlowNLPText Analysis
A comprehensive suite of NLP implementations including BERT sentiment analysis, text summarization, and named entity recognition.
Project Overview
A repository of various NLP experiments and implementations, ranging from classical statistical methods to modern deep learning approaches.
Modules
•Sentiment Analysis: classifying text polarity using BERT and LSTM models.
•Text Summarization: Abstractive summarization using T5 and BART.
•Named Entity Recognition (NER): Custom entity extraction pipelines.
This collection serves as both a learning resource and a reusable codebase for common NLP tasks.