Spanish word embeddings computed with different methods and from different corpora
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Updated
Oct 9, 2019
Spanish word embeddings computed with different methods and from different corpora
Extracting Skills from resume using Machine Learning
Automatic library of congress classification, using word embeddings from book titles and synopses.
The backed for an anime recommender system that combines multiple methods to provide a variety of recommendations to users based on different similarity metrics
Information retrieval course project
Sentiment Analysis on Loksabha Elections 2019
create the search engine to retrieve the text documents. (the information retrieval course project)
Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new articles can be organized by topics, support tickets can be organized by urgency, chat conversations can be organized by language, brand mentions can …
M.Sc. mini project for NLP class (M908)
Bengali word embedding using BengaliWord2Vec from BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
Checkout my adventures into NLP here.
This is final project of Information Retrieval course which is implementation of a search engine
An Empirical Evaluation of Word Embedding Models for Subjectivity Analysis Tasks
Automatic library of congress classification, using word embeddings from book titles and synopses.
Arabic Word Embedding models SkipGram, and GLoVE are trained over Arabic Wiki data Dump 2018 dataset from scratch using Gensim and GLoVE python libraries. Then the models are evaluated on three NLP tasks and its results are visualized in T-SNE
The application of representation learning for semantic associated heterogeneous networks in creating android app embedding layers.
[FR - Duo] 2023 - 2024 Centrale Méditerranée AI Master | NLP project about embeddings and word2vec algorithm
Example of how to use word embedding with BlazingText algorithm in Amazon SageMaker on entire contents of wikipedia for a foreign language (Hebrew).
In this project we will be building a text classifier using LSTM and Wor2vec
Comparison of contextual (BERT) and uncontextual (GloVe and Word2Vec) word embeddings in the task of music genre classification from lyrics.
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