Akitaluja/creating-tabular-data-from-word-forms

Creating a table/csv from multiple word form files

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sumanthgubbala/Fake-News-Prediction

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rosasbehoundja/Sentiment_analysis_Python

Sentiment Analysis project - Python & Streamlit

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ridhika123269/Movie-Recommendation-System-using-ML

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

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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.

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huangjunxin/Lite-sklearn-TfidfVectorizer

A Lite Implementation of sklearn TfidfVectorizer

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Rohith-2/VMD-Embedding

Application of VMD in NLP via TF-IDF for better semantic relationships.

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nano-bot01/Movie-Recommender-Web-Application

Movie Recommendation System based on machine learning concepts

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

Fake News Prediction System using logistic regression, stopwords, nltk

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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.

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5hraddha/sentiment-analysis

An innovative system for filtering and categorizing movie reviews

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

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

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PROxZIMA/Movie-Recommendation-System

Movie recommendation system using TfidfVectorizer, NearestNeighbors

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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

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AndreisSirlene/Sentiment-analysis-reviews

Amazon reviews Sentiment Analysis

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Serfati/imdb_nlp

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

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SannketNikam/Intents-based-Chatbot

Intents-Based Chatbot with Streamlit

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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

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kirankonduru3/Movie-reccomendation-system

A content-based recommender system that recommends movies similar to the movie plot and description

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RalphGradien/HomeWorkoutRecommendations

This Python-based web application, built on the Flask platform, utilizes a powerful Content-Based Filtering Algorithm to provide personalized excercise recommendations based on user preferences and historical interactions.

Language: Python - Size: 92.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ramarav/Fake_News_Detection

Machine learning approach for fake news detection using Scikitlearn

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Russolves/Grade-Report-A.I.

Program that can take in large amounts of .csv files in the same directory and trains a deep learning neural network model based on the best/worst students evaluated by the user. Second program then utilizes the model from the first program to produce a projected report for each individual student inputted.

Language: Python - Size: 201 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

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aknafu12/end-to-end-chatbot-python

This project is a Python-based data science end-to-end chatbot designed to autonomously handle conversations without the need for human intervention. Leveraging advanced natural language processing (NLP) techniques and machine learning algorithms, the chatbot is capable of understanding user queries, providing relevant responses.

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Anshul21107/SMS-Spam-Classifier

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

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NamrataThakur/Personalised-Cancer-Classification

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yussrael/Movies-Recommendation-System

feature extraction, Vectorization, similarity scores, finding closest match to user input, find index, enumerate similarity, give recommendations.

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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.

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elifsare/email-spam-detection

Language: Python - Size: 7.81 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

harshith20/emotion_detector

Machine learning model to predict emotions throught text

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mo-inkhan/TF-IDF-Vectorizer

Compute the TF-IDF matrix from a collection of documents to measure the importance of words for text analysis and information retrieval tasks.

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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.

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curiousnish/fake-news-detector

Detect FAKE news using sklearn

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Thilagavijayan/Data_Dredge

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

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Bakar31/Resume-Match-NLP

Hire the Perfect candidate. HackerEarth Competitions solution.

Language: Python - Size: 3.87 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

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

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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.

Language: Python - Size: 4.83 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

Athari22/Fake-News-Detection-Using-Python

Fake News Detection Using Python

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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.

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chandlergibbons/Machine-Learning-Medical-Transcription-Project Fork of AliceSartori/NLP_AND_Clinical-Notes

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.

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anweasha/Detecting-Fake-News

A machine learning model for detecting fake news

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bumblebee26/TheSocialComment-Challenge

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

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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.

Language: Python - Size: 26.4 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Fail-Capstone/ultimate_chatbot_core_old

Language: Python - Size: 1.44 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

wolfsinem/product-tagging

Part of an internal project for my internship

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olahsymbo/sentiment-analysis-bert

BERT model based sentiment analysis of tweets

Language: Python - Size: 1.08 MB - Last synced at: 27 days ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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.

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SonicStrain/News-Reliability-tester

Detecting 'FAKE' news using machine learning.

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