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Spanish word embeddings computed with different methods and from different corpora
Extracting Skills from resume using Machine Learning
Information retrieval course project
The backed for an anime recommender system that combines multiple methods to provide a variety of recommendations to users based on different similarity metrics
create the search engine to retrieve the text documents. (the information retrieval course project)
Sentiment Analysis on Loksabha Elections 2019
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 be organized by sentiment, and so on.
Bengali word embedding using BengaliWord2Vec from BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
Automatic library of congress classification, using word embeddings from book titles and synopses.
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
M.Sc. mini project for NLP class (M908)
[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).
NLP demos and talks made with Jupyter Notebook and reveal.js
In this project we will be building a text classifier using LSTM and Wor2vec
Patent Big Data Analysis Platform for Individual Patent Applicants
Experiments in the field of Semantic Search using BM-25 Algorithm, Mean of Word Vectors, along with state of the art Transformer based models namely USE and SBERT.
The project aimed to classify Gutenberg texts accurately. Employing advanced NLP methodologies, it covered collection, preprocessing, feature engineering, and model evaluation for literary work classification. as part of the University of Ottawa's 2023 NLP course.
Comparison of contextual (BERT) and uncontextual (GloVe and Word2Vec) word embeddings in the task of music genre classification from lyrics.
HateXplain AAAI 2021 Reproducibility Challange
Emotion Analysis with Transformers
Projects of Machine learning and Deep learning
A tool to assess semantic similarity between English words
Extra tools for working with word embeddings, such as those in Embeddings.jl. However, the compatibility is currently limited.
🎬 Analyze movie reviews sentiment in real-time with "Sentiment Analysis on Movie Reviews using Word2Vec"! Powered by advanced NLP and deployed using Streamlit, this app categorizes reviews as positive or negative. Perfect for film enthusiasts and industry professionals! 🍿📊
This repository contains code and dataset used in the final project of the NLP course in Iran University of Science and Technology
This repository contains preprocessing and analyzing document similarity using Word2Vec embeddings, various similarity measures, and different visualization techniques.
Question answering using word embedding models (Word2vec , fastText , Glove)
한국어 임베딩 책을 바탕으로 임베딩 모델에 대한 공부
The primary objective of this project is to develop a robust system capable of accurately classifying patient conditions solely based on their reviews. By leveraging advanced NLP techniques, the project aims to streamline the categorization process and provide valuable insights into patient health status.
Given country-capital pairs and their embeddings in vectorized forms to predict the capitals of countries from a given set of options.