TweeterPy is a python library to extract data from Twitter. TweeterPy API lets you scrape data from a user's profile like username, userid, bio, followers/followings list, profile media, tweets, etc.

A massive dataset of 14 million pairs of dialogues in Persian and its implemented test bench transformer-based model.

Finding the google search results which shows conspiracy content - NLP, Webscrapper, Flask app, KNN(From Scratch)

Clustering and Classification of Members of the European Parliament's Tweets. This repository provides my solution for the 3rd Assignment for the course of Practical Data Science for the MSc in Data Science at Athens University of Economics and Business.

TwitterApi

A tweet aggregator built upon twitter api

A script that uses Markov chain and text probability to generate semi-realistic sentences based on Jack Sparrow Quotes.

LIRI is a command line node app that takes in parameters and gives you back data.

Promote It - Full Stack Project

Hyper-custom tweeter search

Text Mining Analysis: (a) Fetched Tweets from Twitter. (b) Data Cleaning/ Pre-processing. (c) Word Cloud. (d) Sentiment Analysis. (d) TF-IDF matrix.

Data Wrangling on WeRateDogs (Tweeter account). After the data analysis process, it shows that there are more favorite tweets than counts of a retweet on WeRateDogs. This means people are favoriting a picture of a dog than they are retweeting that tweet.

This project includes 5th project of udacity nanodegree program.

Sentiment analysis through Tweeter microblogging service of the measures designed under the plan NGEU (Next Generation EU) to boost the recovery from the consequences caused by Covid-19.

This is a repository for the backend I've built during my Software Engineer internship at HaveYouHeard (Pty)Ltd.