Twitter Sentiment Analysis using Natural Language Processing(NLP)
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Updated
May 17, 2024 - Jupyter Notebook
Twitter Sentiment Analysis using Natural Language Processing(NLP)
Extract text content from an HTML page, process it, and extract unique words from the processed text. This notebook utilizes various text processing techniques including cleaning, normalization, tokenization, lemmatization or stemming, and stop words removal.
Text Normalization on tweets (Tweet Normalization)
Sentiment-Analysis
Predict emotions (happiness, anger, sadness) from WhatsApp chat data using machine learning and deep learning models. Includes text normalization, vectorization (TF-IDF, BoW, Word2Vec, GloVe), and model evaluation.
Welcome to my text scrapbook! Here you will find examples of text tokenization, normalization, n-grams, and lots of text adjacent stuff.
Simple tool to check if Unicode text files are Unicode-normalized
Text classification is a widely used natural language processing task in different business problems. Given a statement or document, the task involves assigning to it an appropriate category from a pre-defined set of categories. The dataset of choice determines the set of categories. Text classification has applications in emotion classification, n
This repository provides a complete workflow for text processing using Hugging Face Transformers and NLTK. It includes modules for sentence normalization, spelling correction, word embedding generation, positional encoding computation, and English-to-French translation
Accurate categorization of eCommerce products improves user experience and boosts search engine visibility. The project goal is to classify products into 14 predefined categories using their descriptions sourced from an eCommerce platform.
Jupyter Notebook for NLP Tasks
Spelling corrector and text normalizer
Small Python wrapper class for the CAB webservice.
A web app for Spam classification using Natural Language Processing.
Library supports converting number to Vietnamese for .NET C# ./
Implementation of the paper on Text normalization by Choudhury et al.
Implementing text normalization for Farsi(Persian) language.
Utility for string normalization
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