An unsupervised method for target-specific stance detection using embeddings-based clustering and projection techniques. Achieves 90% precision without requiring platform-specific features.

Twitter analysis functions built for use with rtweet package (by mkearney)

Social Mapping Framework for Twitter

Get Tweet by giving keyword and do keyword analysis

A gathering of digital methods recipes for research, teaching and collaborations from across the Public Data Lab.

Classifying Verified used users on Twitter based on how likely they are to share Fake News articles

We use the BERT language model for Twitter sentiment analysis leading to the US 2020 presidential elections. We investigate if sentiment analysis can provide an indication of the outcome of the results using canonical LSTM and BERT language model.

Analyze twitter sentiments with keywords related to the stock price of the company who is near their earnings events

This is weird. But it doesn't matter because no one's around.

Real-time data analytics on COVID-19 over a Twitter Stream using Big Data Technologies of Hadoop Ecosystem such as Flume, Kafka and Spark Streaming. Flask is used to display dashboards.

Analysis of social media conversations surrounding COVID-19 in Singapore

B.Tech. Final Year Project

My workflow for accessing, streaming, and analysing tweets. Part of a sentiment analysis and topic identification project.

Twitter Sentimental Analysis for Product Analysis using Spark Streaming, Mongodb

A flask application to analyze a twitter user's tweets.

Analysis of a tweet to find the most common words in the replies and quotes

R package to get tweets from ISMB/ECCB 2019 conference, Basel. Full doc: itsvenu.github.io/ismb2019/

Sentiment analysis movie di twitter menggunakan database imdb_labelled.txt https://archive.ics.uci.edu/ml/datasets/Sentiment+Labelled+Sentences dan algoritma multinomial naive bayes di python 3.6.5

Generate egocentric networks for Twitter users 🐦