nltk-corpus

A Next-Word Prediction project uses Transformers and GPT-2 for text generation. GPTTokenizer preprocesses input, and the model is fine-tuned. Evaluation measures accuracy, perplexity, and fluency.

🤖 Automation Bot which can do textual extraction from a URL and perform text analysis and store into a file.

This Repository Contains Some of the NLPS related Code

Natural Language Processing

Image caption generator project is automatically describes images with coherent and relevant textual captions.

‘And I’m not sure what I can do about it,’ she thought, ‘I’m afraid I’ve made a mistake, as I can’t get back to it. It’s like I’m going to go on and on, but I can’t. I don’t know what I am.’

A game which allows users to try and find as many words as possible from a given set of alphabets

An NLP Exploration in Video Game Analytics for Decoding Retail Sentiments

A Python implementation of the Byte Pair Encoding (BPE) algorithm from scratch for subword tokenization, demonstrated on a real-world text corpus using NLTK.

This repository focuses on sentiment analysis of Twitter data using Python, Natural Language Processing (NLP), and the Natural Language Toolkit (NLTK). The goal is to extract valuable insights from social media discussions, such as word frequency, hashtag trends, and sentiment patterns.

NLTK corpus readers. The modules in this package provide functions that can be used to read corpus files in a variety of formats. These functions can be used to read both the corpus files that are distributed in the NLTK corpus package, and corpus files that are part of external corpora

Basic Building block of NLP application is Text Preprosessing.

Using React Text Tools with NLP