textpreprocessing

Instance of CBOW(Continuous Bag Of Words)-bigram model

Rule-based sentiment analysis on Shakespeare text using Python and NLP preprocessing techniques.

Here we will apply natural language process using variety packages like keras, textblob, genism etc

SpamGuard is an intelligent SMS filtering system designed to detect and filter spam messages using machine learning techniques.

Proyek ini bertujuan untuk mengembangkan model yang dapat menentukan apakah produk dalam review direkomendasikan atau tidak berdasarkan teks ulasan yang diberikan oleh para pengulas.

Chat gpt with hugging face

For the text Mining course I carried out a project related to the analysis and classification of the reviews of the "UCI ML Drug Review" dataset (link: https://archive.ics.uci.edu/ml/datasets/Drug+Review+Dataset+%28Drugs.com%29). I learned to apply techniques such as bag of words, TF-IDF and build sentiment analysis models through the Bert and V…

A lightweight Python library that cleans messy scraped data (URLs, emojis, symbols, noise) and prepares it for NLP tasks like sentiment analysis.

AI or Human! Detection of AI Generated Text

A structured repository covering Natural Language Processing fundamentals, text preprocessing, feature extraction techniques, and hands-on NLP implementations using Python.

This notebook contains entire text preprocessing pipeline for NLP problems. The ready-to-use functions require NLTK and SKlearn package installations. It also contains some prominent text classification models.

Hey there! Welcome to NLP project repository. Here i will upload all the NLP based projects i have done or i am currently doing. Feel free to fork this repo and contribute in it.

NLP LSTM model to predict python codes (Text prediction) (Tokenized special characters)

LangChainRunnables is a Python-based project showcasing and learing five distinct LangChain workflows—Branch, Lambda, Parallel, Passthrough, and Sequence—using OpenRouter’s free API. It demonstrates AIdriven text processing tasks generating facts, summarizing reports, creating notes and quizzes, responding to sentiment feedback, and crafting jokes

The system is implemented to scrape data from a booking website, perform Emotion Analysis on the reviews of the selected hotel and visualized the result over a time axis. R is used to implement the system and Shiny library is used to develop the Front-end.

Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.

Fake News Classifier – An LSTM-based deep learning model for detecting fake news, leveraging NLP techniques for text preprocessing and classification. Bidirectional LSTM Fake News Classifier – An enhanced version using Bidirectional LSTM to improve context understanding and boost fake news detection accuracy.

A collection of modular and reusable machine learning utilities, tools, and helpers

This repo contains the Spam classification using NLP

Production-ready content moderation system detecting hate speech in social media posts.