There are 3 repositories under text-vectorization topic.
A Python toolbox for gaining geometric insights into high-dimensional data
đź“– Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
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.
Given a document, identifying the closest documents within the list of documents using tf-idf matrix and cosine similarity
Syracuse University, Masters of Applied Data Science - IST 736 Text Mining
Comment Sentiment Analysis using Deep Learning
A DL project that helps in classifying Toxic Comment weather it is positive or not.
Using text-vectorization and similarity-based-matrix computation
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.
demistifying nlp with a series of nlp implementation notebooks.
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.
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
A simple Python script for transforming a corpus of documents into text vectors suitable for visualization
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.
Clustering text using text vectorization
Homeworks and final project for Infosearch course
Evaluation of the accuracy of vectorization and text classification methods
Naive Bayes classifier with text parser and vectorization libs
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.
Text Classification of Legitimate and Rogue Online Privacy Policies: A manual analysis and an experimental procedure
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.
Data science and NLP tools developed for my own use.
This repository has a Machine Learning Project. It is basically 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.
A dynamic Movie Recommender web app using ML text vectorization technique to suggest the user with similar kind of movies and their posters.
IMDB movie review classification using neural network (text-vectorization v/s word-embeddings)
Performing sentiment analysis on movie reviews using RNN (LSTM) in keras
Machine Learning course of Piero Savastano 3: CountVectorizer
Tag prediction on Stack Overflow using TensorFlow Keras and Text Vectorization
Sentiment Analysis
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.
Discussion about Probabilities, Classification and Zipf's law
A content based movie recommender system.
Content Based Movie Recommendation System | Python
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!