Popular GitHub Repositories for Tfidf

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

Analisis Sentimen Twitter dengan TFIDF-ANN

[SOICT 2024] LLM-Powered Video Search: A Comprehensive Multimedia Retrieval System

Here I sort out some small projects I did in the process of learning NLP.

A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link

The project is based on a multi-label classification problem in NLP.

Developed BERT, LSTM, TFIDF, and Word2Vec models to analyze social media data, extracting service aspects and sentiments from a custom dataset. Provided actionable insights to telecom operators for customer satisfaction and competitive analysis.

KAREN: Unifying Hatespeech Detection and Benchmarking

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

Aims at attributing the big-five personality traits to authors of essays by analyzing their works.

Sentiment Analysis of movie reviews by sklearn's naive bayes and TfIdf word vectorizer.

The objective of this project is to classify whether upcoming product will have positive or negative Sentiment.

A fast framework for pre-processing (Cleaning text, Reduction of vocabulary, Feature extraction and Vectorization). Implemented with parallel processing using custom number of processes.

Identify which questions asked on QUORA are duplicated on question that have already been asked. Used performance metric as log loss and trained the model using XGBOOST that brought my log loss to 0.3157.

NLP use cases using popular solutions: Frequency Embeddings, Word embedding (word2vec, doc2vec, Glove), RNN,LSTM, Transformers-BERT, Sentence_Transformers etc. PyTorch

Code for Aggression and Misogyny Detection using BERT augmentation (Accepted at ICON 2021)

Projects for the Artificial Intelligence 2 course at the University of Athens.

Apply Bi-LSTM with self-attention, attached CRF for Named Entity Recognition.

NLP Hand Written Notes