Topic: text-vectorization Goto Github
Some thing interesting about text-vectorization
Some thing interesting about text-vectorization
text-vectorization,A dynamic Movie Recommender web app using ML text vectorization technique to suggest the user with similar kind of movies and their posters.
User: aditya-bhatt-coder
text-vectorization,Homeworks and final project for Infosearch course
User: alla-g
text-vectorization, 📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
User: amansrivastava17
text-vectorization,Evaluation of the accuracy of vectorization and text classification methods
User: andreytsimbalov
text-vectorization,IMDB movie review classification using neural network (text-vectorization v/s word-embeddings)
User: avd1729
text-vectorization,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.
User: ccrss
text-vectorization,Using text-vectorization and similarity-based-matrix computation
User: chronos-asteri
text-vectorization,A Python toolbox for gaining geometric insights into high-dimensional data
Organization: contextlab
Home Page: http://hypertools.readthedocs.io/en/latest/
text-vectorization,Naive Bayes classifier with text parser and vectorization libs
User: dibya-pati
text-vectorization,This is a Go lib that helps converting a slice of strings into a slice of vectors
User: dmitriitimoshenko
text-vectorization,Performing sentiment analysis on movie reviews using RNN (LSTM) in keras
User: fratambot
text-vectorization,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.
User: iancarmona
text-vectorization,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.
User: jaunel
text-vectorization,Text Classification of Legitimate and Rogue Online Privacy Policies: A manual analysis and an experimental procedure
User: kaavyarekanar
text-vectorization,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.
User: kulwinderkk
text-vectorization,Machine Learning course of Piero Savastano 3: CountVectorizer
User: lorenzorottigni
text-vectorization,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.
User: mansipatel2508
Home Page: https://colab.research.google.com/drive/1q5rvPOO8DvD8DV5DNLMVc8UDY7ntWHah
text-vectorization,Comment Sentiment Analysis using Deep Learning
User: minku-koo
text-vectorization,Word Factor Vectors
User: mkearney
Home Page: https://github.com/mkearney/wactor
text-vectorization,demistifying nlp with a series of nlp implementation notebooks.
User: nainiayoub
text-vectorization,Data science and NLP tools developed for my own use.
User: ndgigliotti
text-vectorization,A DL project that helps in classifying Toxic Comment weather it is positive or not.
User: ni3choudhary
text-vectorization,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.
User: nikosmav
text-vectorization,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.
User: ns-nexus
Home Page: https://movie-recommender-system-by-neha-sharma.streamlit.app/
text-vectorization,Tag prediction on Stack Overflow using TensorFlow Keras and Text Vectorization
User: nykolai-d
text-vectorization,Sentiment Analysis
User: rajasa-kakkera
text-vectorization,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
User: rid17pawar
text-vectorization,Given a document, identifying the closest documents within the list of documents using tf-idf matrix and cosine similarity
User: rishabbh-sahu
text-vectorization,A simple Python script for transforming a corpus of documents into text vectors suitable for visualization
Organization: rosette-api-community
text-vectorization,Syracuse University, Masters of Applied Data Science - IST 736 Text Mining
User: rtimbro185
text-vectorization,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.
User: saranggami
Home Page: https://github.com/SarangGami/Topic-modeling-on-News-Articles-Unsupervised-Learning
text-vectorization,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.
User: sayamalt
Home Page: https://e-commerce-category-prediction.streamlit.app/
text-vectorization,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 ✨.
User: sergio11
text-vectorization,Clustering text using text vectorization
User: singh-l
Home Page: https://sites.google.com/view/lovedeepsingh/research/clusteringtext
text-vectorization,Discussion about Probabilities, Classification and Zipf's law
User: sureshathanti
text-vectorization,A content based movie recommender system.
User: tejangupta
text-vectorization,Content Based Movie Recommendation System | Python
User: thatdamncoder
Home Page: https://whats-next-on-netflix.streamlit.app/
text-vectorization,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.
User: vanaub22
Home Page: https://movie-recommender-app.streamlit.app
text-vectorization,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!
User: vidhi1290
text-vectorization,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.
User: vlada-pv
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