Word2Vec Library
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Updated
Jun 1, 2024 - TypeScript
Word2Vec Library
word2vec++ is a Distributed Representations of Words (word2vec) library and tools implementation, written in C++11 from the scratch
Ce fut mon prémier projet NLP où j'ai réalisé la détection de spam en utilisant les algorithmes d'embedding pour encorder mes textes. J'ai utilisé Random Forest et Milti-Layres Perceptrons pour la phase de classification. Ce qui a pemit l'obtension des précisions respective de 97% et 98%. J'ai aussi appris à documenter mes codes via sphinx
Neste projeto, é explorada a biblioteca LangChain para o desenvolvimento de aplicações de interação em termpo real com videos do youtube.
Data / description here: https://www.kaggle.com/c/inls690-270-funny-news-headline
News Classifier App that appropriately classifies a news article as real news or fake news using Deep Learning LSTM and model is deployed using flask
This NLP repository features various projects aimed at processing and analyzing natural language data. From sentiment analysis to text classification, the projects utilize state-of-the-art techniques and algorithms to extract meaningful insights from unstructured text data.
Some mini projects and training code
Skip-Gram Model From Scratch
Coursera's Natural Language Processing specialization
Intelligent search for the most relevant questions on stackoverflow.com for a machine learning query.
This is final project of Information Retrieval course which is implementation of a search engine
Different ML techniques examples
First rank winner at the Natural Language Processing competition FCIS-ASU 2021-2022.
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