tfidfvectorizer
There are 51 repositories under tfidfvectorizer topic.
ksdkamesh99/Phony-News-Classifier
Phony News Classifier is a repository which contains analysis of a natural language processing application i.e fake news classifier with the help of various text preprocessing strategies like bag of words,tfidf vectorizer,lemmatization,Stemming with Naive bayes and other deep learning RNN (LSTM) and maintaining the detailed accuracy below
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.
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.
RalphGradien/HomeWorkoutRecommendations
Python-based web application, Flask platform, utilizes a powerful Content-Based Filtering Algorithm to provide personalized recommendations excercises
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.
nano-bot01/Fake-News-Prediction-System-
Fake News Prediction System using logistic regression, stopwords, nltk
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
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
SannketNikam/Intents-based-Chatbot
Intents-Based Chatbot with Streamlit
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.
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
harshith20/emotion_detector
Machine learning model to predict emotions throught text
huangjunxin/Lite-sklearn-TfidfVectorizer
A Lite Implementation of sklearn TfidfVectorizer
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
elmezianech/Email-Spam-Ham-Classifier-LR
Email Classifier: A machine learning project using Python that categorizes emails into spam and ham (non-spam). Utilizes the Scikit-Learn library, employing logistic regression and TF-IDF (Term Frequency-Inverse Document Frequency) vectorization for text analysis and classification.
kirankonduru3/Movie-reccomendation-system
A content-based recommender system that recommends movies similar to the movie plot and description
bhaskrr/amazon-books-4-class-rating-prediction
This repository holds the dataset and notebooks for the Amazon Books dataset 4 class Rating prediction
john-neg/full-text-search
ML Full text search system. Flask, Selenium parser, preprocessing, TF-IDF, Word2Vec
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.