text-vectorization
There are 43 repositories under text-vectorization topic.
ContextLab/hypertools
A Python toolbox for gaining geometric insights into high-dimensional data
mkearney/wactor
Word Factor Vectors
amansrivastava17/bns-short-text-similarity
📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
mansipatel2508/Yelp-Review-Stars-Prediction-with-Machine-Learning
The project has text vectorization, handling big data with merging and cleaning the text and getting the required columns while boosting the performance by feature extraction and parameter tuning for NN, compares the Performances through applied different models treating the problem as classification and regression both.
Rishabbh-Sahu/information_retrieval
Given a document, identifying the closest documents within the list of documents using tf-idf matrix and cosine similarity
rtimbro185/syr_mads_ist736_text_mining
Syracuse University, Masters of Applied Data Science - IST 736 Text Mining
SarangGami/Topic-modeling-on-News-Articles-Unsupervised-Learning
In this project, task involves analyzing the content of the articles to extract key concepts and themes that are discussed across the articles to identify major themes/topics across a collection of BBC news articles.
Minku-Koo/Comment-Sentiment-Analysis
Comment Sentiment Analysis using Deep Learning
ni3choudhary/Toxic-Comment-Classifier
A DL project that helps in classifying Toxic Comment weather it is positive or not.
CCRss/topic_modeling_top2vec_scientific-texts
A diploma project focused on vectorizing scientific texts using the Top2Vec algorithm, with the aim of analyzing thematic groups, identifying trends, and visualizing the dynamics of interest in various topics in the field of computer science.
Chronos-Asteri/movie-recommender-system-v1
Using text-vectorization and similarity-based-matrix computation
dmitriitimoshenko/govectorize
This is a Go lib that helps converting a slice of strings into a slice of vectors
IanCarmona/Recommendation-Songs-Taylor-Swift
This program is a project carried out in the Natural Language Processing course, which is a Taylor Swift song recommender. It utilizes topics such as sentiment analysis in texts, text vectorization, and the removal of stopwords.
markiskorova/Machine-Learning-NLP-Predict-Author
Machine Learning & Natural Language Processing: Reads Classic Novels and Predicts the Author of a Phrase
nainiayoub/demystifying-nlp
demistifying nlp with a series of nlp implementation notebooks.
NikosMav/FakeNews-Classification
In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.
rid17pawar/Sentiment-Analysis-Model-Experiments
Experiments in the field of Sentiment Analysis using ML Algorithms namely Logistic Regression, Naive Bayes along with tfidf, one hot encoding, bag of words vectorization. Different MLP and RNN models viz. LSTM, GRU, Bidirectional LSTM. Lastly, state of the art BERT model
rosette-api-community/visualize-embeddings
A simple Python script for transforming a corpus of documents into text vectors suitable for visualization
sergio11/headline_generation_lstm_transformers
Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.
singh-l/Clustering_Repo
Clustering text using text vectorization
Vidhi1290/ScienceQA-Insights-Exploring-with-LLMs
Predictive Text Analysis project! This repository contains code for predicting answers to science exam questions using advanced natural language processing techniques. Check out the code and results!
alla-g/infosearch_hw
Homeworks and final project for Infosearch course
Ganesh2409/Course-Recommendation-System
🚀 Course Recommendation System is a machine learning-powered web application designed to recommend similar courses from Coursera's vast dataset of over 3,000 courses. Built using Python, Scikit-learn, and Streamlit, the app preprocesses course data, applies text vectorization, and leverages cosine similarity to offer personalized recommendations.
jaunel/Content-Based---Movie-Recommender-System
This project is a Recommendation based project. Similar movies will be recommended based upon the content of the movie. I have used ML algorithm & BOW technique of NLP for our model. An interactive web page is also designed using streamlit library for next level user experience.
kulwinderkk/recipe_recommender_nlp
This project is an unsupervised NLP-based recipe recommender system designed to provide personalized recipe suggestions. The system employs content-based filtering techniques, utilizing cosine similarity to measure the resemblance between user inputs and a database of recipes.
ndgigliotti/ndg-tools
Data science and NLP tools developed for my own use.
ns-nexus/Movie-Recommender-System
Movie Recommender System leverages a content-based approach, suggesting films to users based on the attributes of movies they have previously enjoyed. By analyzing movie metadata such as genre, cast, director, keywords, etc., this project offers personalized recommendations aligned with users' cinematic tastes.
Vanaub22/Movie-Recommender-App
This is a Content-based Movie Recommendation App wherein the user can type in a particular movie that he/she has enjoyed and can get the names and posters of top 5 similar movies.
vlada-pv/Prediction-Sociolinguistic-Data-Based-on-the-Diaries-Texts-of-the-Prozhito-Project
The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.
aditya-bhatt-coder/Movie-Recommender-System
A dynamic Movie Recommender web app using ML text vectorization technique to suggest the user with similar kind of movies and their posters.
avd1729/Movie-Reviews-Classification
IMDB movie review classification using neural network (text-vectorization v/s word-embeddings)
LorenzoRottigni/ML-text-vectorization
Machine Learning course of Piero Savastano 3: CountVectorizer
pavansaipendry/sentiment-analysis-using-social-networks
The project finds the emotion in the given text. It takes input in a text/sentence format through the User or through Twitter API.
SayamAlt/E-Commerce-Text-Classification
Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.
tejangupta/Movie-Recommender-System
A content based movie recommender system.
thatdamncoder/whats-next-on-netflix
Content Based Movie Recommendation System | Python