word2vec-embeddinngs
There are 68 repositories under word2vec-embeddinngs topic.
dccuchile/spanish-word-embeddings
Spanish word embeddings computed with different methods and from different corpora
Msq-9/Extraction-of-Skills
Extracting Skills from resume using Machine Learning
TheTuringExperience/anime-recommendation-system
The backed for an anime recommender system that combines multiple methods to provide a variety of recommendations to users based on different similarity metrics
ahmad-PH/auto_lcc
Automatic library of congress classification, using word embeddings from book titles and synopses.
Amirhossein-Rajabpour/Information-Retrieval-Project
Information retrieval course project
arminZolfaghari/search-engine
create the search engine to retrieve the text documents. (the information retrieval course project)
vinayaksharmagh/sale2019
Sentiment Analysis on Loksabha Elections 2019
KrishArul26/Text-Classification-DBpedia-ontology-classes-Using-LSTM
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.
theatina/Stress_Detection
M.Sc. mini project for NLP class (M908)
Rajspeaks/Deep-Learning-Approach-to-Bengali-Word-Embedding-using-BengaliWord2Vec-from-BNLP
Bengali word embedding using BengaliWord2Vec from BNLP. A mini project under the mentorship of Prof. Sandipan Ganguly, HIT-K.
ahmad-PH/iml_group_proj
Automatic library of congress classification, using word embeddings from book titles and synopses.
k-loki/My-NLP-adventures
Checkout my adventures into NLP here.
mohammadtavakoli78/Informations-Retrieval
This is final project of Information Retrieval course which is implementation of a search engine
Ritika2001/Word-Embedding-Models-for-Subjectivity-Analysis
An Empirical Evaluation of Word Embedding Models for Subjectivity Analysis Tasks
shaimaaK/arabic-word-embedding
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
2003HARSH/Sentiment-Analysis-on-movie-reviews
🎬 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! 🍿📊
Briggs599/appSHNE
The application of representation learning for semantic associated heterogeneous networks in creating android app embedding layers.
Chirag-Shilwant/Sentiment-Analysis-on-IMDB-Dataset
Sentiment analysis is the process of detecting positive or negative sentiment in text. It’s often used by businesses to detect sentiment in social data, gauge brand reputation, and understand customers.
chizeni24/Medical-Search-Engine
The project focuses on developing medical word embeddings using Word2vec and FastText in Python to create a search engine and Streamlit UI. The use of embeddings helps overcome the challenges of extracting context from text data, making it easier to represent words as semantically meaningful dense vectors.
Clealiya/Word2vec_embeddings
[FR - Duo] 2023 - 2024 Centrale Méditerranée AI Master | NLP project about embeddings and word2vec algorithm
gilinachum/wikipedia-embedding
Example of how to use word embedding with BlazingText algorithm in Amazon SageMaker on entire contents of wikipedia for a foreign language (Hebrew).
howard-haowen/NLP-demos
NLP demos and talks made with Jupyter Notebook and reveal.js
iAmKankan/TextclassificationLSTM
In this project we will be building a text classifier using LSTM and Wor2vec
jangThang/patent-server
Patent Big Data Analysis Platform for Individual Patent Applicants
rid17pawar/Semantic-Search-Model-Experiments
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.
RimTouny/Enhancing-Gutenberg-Book-Classification-using-Advanced-NLP-Techniques
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.
rubicco/music-genre-classification
Comparison of contextual (BERT) and uncontextual (GloVe and Word2Vec) word embeddings in the task of music genre classification from lyrics.
Sarvesh1814/HateXplain
HateXplain AAAI 2021 Reproducibility Challange
shaimaaK/arabic-sequence-classification-POS
Arabic part of speech tagging using arabic PUD dataset using bidirectioanl LSTM for sequential labeling classification
simranjeet97/Innovative-Sentiment-Analysis
I created a new technique to do sentiment analysis with 98% probability using multiple techniques combined to from a new method. I made a video on this whole project and show you, how “Next Gen Sentiment” is much better then NLTK, TEXTBLOB or LLMs.
Wb-az/Transformers-Emotion-Analysis
Emotion Analysis with Transformers
yelloejp/Uni_Projects
Projects of Machine learning and Deep learning
zoobereq/semantic_similarities
A tool to assess semantic similarity between English words
razaparvi/NLP
NLP related works
AnnettaQi/Fake-news-classification
Using LSTM model to classify text into fake or real