Identify question pair with the same intent using Convolutional Neural Network
This project incorporates Hierarchical document clustering of the Kaggle forum posts using data from Meta Kaggle. Includes fine-tuned vectors using GoogleNews embeddings.
Different ML techniques examples
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
This project is a word2vec implementation of the tweets collected from twitter. We followed the ethical way of creating a developer account and followed the official twitter documentation to collect we data. We highly encourage the viewers to check the official documentation out and follow instructions to ethically collect the tweets and the dat…
K-Means, Geo2Vec and Sequence Analysis on IP-Probe mobile data to cluster the flows of tourists in the Tuscany Region.
An implementation of definition evaluation project as a class project within the Artificial Intelligence class.
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 repository contains code for learning word2vec embeddings using skip-gram model
Intelligent search for the most relevant questions on stackoverflow.com for a machine learning query.
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.
Use the Word2Vec proposed by Google to train models (vectors) to be used in any word2vec application.
source code train models Machine Learning and preprocessing text using python
Naive implementation of NLP model Word2Vec with Numpy
Word2Vec Library
Coursera's Natural Language Processing specialization
Data / description here: https://www.kaggle.com/c/inls690-270-funny-news-headline
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