Simple python code to find similarity scores between two sentences using Cosine similarity

Fake News Detection using SGD Classifier

Understanding the context of movie plot and providing recommendations using TF-IDF vectorizer and pre-trained BERT model.

Natural language processing(NLP) model that predicts whether the news is FAKE or REAL.

Автоматическое выявление токсичных комментариев

Text Encoding and Classification using different types of Encoders

Hate speech text (in Portuguese) classification using Machine Learning techniques.

apply machine learning techniques to help automate certifying smart home skus for vendors

Efficient Sentencing Encoding and Vectorization techniques with customer reviews on a product page of the popular E-Commerce website, Amazon using proven NLP techniques for the purpose of sentiment analysis.

This work proposes a new approach for detecting fake news in datasets using some of the most widely used algorithms of machine learning.

NTUA ECE Neural Networks Source Codes

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 web application for predicting fake news articles.

Text Classification Task ( sentiment analysis ) of Twitter datasets

This is one of the Projects which was done in interest to learn the difference between the different classification algorithm and derive a solid conclusion from that. It scrap sthe data from youtube and related to six different classes and then by using different classification algorithm it classifies them.

This is a Machine Learning project made with python to detect whether a given news is real or fake. It works on the provided dataset and classifies the news. It is done using Scikit learn.

SPAM/HAM Classifier using Naive Bayes

COMP3222 Machine Learning Coursework with the aim of designing a ML algorithm to classify Twitter posts as being fake or real.

A machine learning model to recommend movies.This model is completely build in python using cosine similarity.This type of recommendation system, takes in a movie that a user currently likes as input. Then it analyzes the contents,popularity etc of the movie to find out other movies which have similar content.