tfidfvectorizer

nano-bot01/Movie-Recommender-Web-Application

Movie Recommendation System based on machine learning concepts

pemagrg1/Magic-Of-TFIDF

TFIDF being the most basic and simple topic in NLP, there's alot that can be done using TFIDF only! So, in this repo, I'll be adding the blog, TFIDF basics, wonders done using tfidf etc.

bumblebee26/TheSocialComment-Challenge

Posts/Feeds recommendation engine based on content based and collaborative filtering methods

Bakar31/Resume-Match-NLP

Hire the Perfect candidate. HackerEarth Competitions solution.

RalphGradien/HomeWorkoutRecommendations

Python-based web application, Flask platform, utilizes a powerful Content-Based Filtering Algorithm to provide personalized recommendations excercises

chiraag-kakar/FUND

An NLP model to detect fake news and accurately classify a piece of news as REAL or FAKE trained on dataset provided by Kaggle.

nano-bot01/Fake-News-Prediction-System-

Fake News Prediction System using logistic regression, stopwords, nltk

ramarav/Fake_News_Detection

Machine learning approach for fake news detection using Scikitlearn

AVINEET-Singh/Movie-Recommendation_System

In this project we are comparing two approaches for movie recommendation for a new user or existing user based on their age, gender, occupation.

chandlergibbons/Machine-Learning-Medical-Transcription-Project

For our final project, our group chose to use a dataset (from Kaggle) that contained medical transcriptions and the respective medical specialties (4998 datapoints). We chose to implement multiple supervised classification machine learning models - after heavily working on the corpora - to see if we were able to correctly classify the medical specialty based on the transcription text.

kuldeep27396/Real_News

Learned to detect fake news with Python. We took a political dataset, implemented a TfidfVectorizer, initialized a PassiveAggressiveClassifier, and fit our model. We ended up obtaining an accuracy of 92.82% in magnitude.

rochitasundar/Twitter-Sentiment-Analysis

Data consists of tweets scrapped using Twitter API. Objective is sentiment labelling using a lexicon approach, performing text pre-processing (such as language detection, tokenisation, normalisation, vectorisation), building pipelines for text classification models for sentiment analysis, followed by explainability of the final classifier

SannketNikam/Intents-based-Chatbot

Intents-Based Chatbot with Streamlit

abdulkaaa/Deteksi-Berita-Palsu-dengan-Python

Penerapan TF-IDF Vectorizer dan Passive Aggressive Classifier dalam pendeteksian berita palsu dengan Python.

LaurentVeyssier/Text-Classification-with-3-key-NLP-techniques

Use Key NLP techniques to classify news articles into categories: Bag_of_Words (tf-Idf), word embeddings and BERT language model

MingalievDinar/sentiment-analysis

The aim - is to develop a model that will give accurate predictions for the customer's test sample, but the training sample for is not given. It should be collected by parsing

mithu975/fakenews

Fake news classifier model

Shubha23/Fake-News-Detection-Text-Preprocessing-and-Classification

Fake new detection using text classification as real or fake news segments. Required installations - Python 3.8, NLTK, Scikit-Learn, Jupyter. Text cleaning, tokenization, vectorization, classification model generation and evaluation.

SonicStrain/News-Reliability-tester

Detecting 'FAKE' news using machine learning.

5hraddha/sentiment-analysis

An innovative system for filtering and categorizing movie reviews

Anshul21107/SMS-Spam-Classifier

SMS Spam Classifier is a machine learning project that classifies SMS messages as either spam or not spam (ham).

curiousnish/fake-news-detector

Detect FAKE news using sklearn

elifsare/email-spam-detection

harshith20/emotion_detector

Machine learning model to predict emotions throught text

PROxZIMA/Movie-Recommendation-System

Movie recommendation system using TfidfVectorizer, NearestNeighbors

ridhika123269/Movie-Recommendation-System-using-ML

This projects aims to recommend movies to the user based on high similarity scores among them.

sanjjayrj/Chatbot-NLTK

A Simple conversational chatbot built using NLU concepts. The project uses reddit comments taken from 2015, which has about 1.7 billiion interactions.

Serfati/imdb_nlp

:robot: Sentiment Analysis using IMDb Reviews. The project contains TfidfVectorizer for representing text in numeric form. :movie_camera:

Thilagavijayan/Data_Dredge

This webapp helps to find the inaccurate information around the world through news

wolfsinem/product-tagging

Part of an internal project for my internship

asghar-rizvi/Email-Spam-Detector-EDA-Model-Building-and-Flask-Integration

The Email Spam Detector project uses Python to identify spam emails. It leverages a Kaggle dataset for training, employs TfidfVectorizer for preprocessing, and selects a Naive Bayes model for its performance. The Flask-based web app features an HTML/CSS frontend for user input and spam classification.

RohiniMeghana/Flipkart-Sentimental-analysis

This project is based on the analysis of the reviews and ratings user gives on Flipkart to make others aware of their experience and moreover about the quality of the product and brand. So, by analyzing that data we can tell the users a lot about the products and also the ways to enhance the quality of the product.

rosasbehoundja/Sentiment_analysis_Python

Sentiment Analysis project - Python & Streamlit

bhaskrr/amazon-books-4-class-rating-prediction

This repository holds the dataset and notebooks for the Amazon Books dataset 4 class Rating prediction

vivinprabhu/Cloud-Configuration-ML

Cloud configuration including cost prediction and resources recommendation using machine learning algorithm XGBoost regression and TfidfVectorizer.