Analyzing Tweets about climate change by Canadian female politicians to measure the severity of harassment and types of accounts behind the Tweets

Kode program yang berisikan fungsi dan langkah langkah untuk melakukan analisis sentimen sederhana menggunakan data twitter

Sentiment Analysis of Tweets for a renowned shoe brand

An R project to learn the basics of data science, data cleaning, with a focus on NLP and twitter text sentiment analysis

Analyzing Tweets about climate change by Canadian female politicians to see severity of harassment and type of account behind the Tweets.

Get tweet's sentiment analysis with R

Explore your Twitter activity with R: Sentiment Analysis and Data Visualization. How to analyze your Twitter account (or any account), discover your habits and sentiments with the "rtweet" package and NLP.

This research wants to build a time serie of the polarity of tweets related to a cluster of firms, and compare it to the time serie of the same firms in the stock market.

pt-BR –– Dados e scripts do R da minha monografia sobre "Mineração de Textos no Twitter: Aprendizado de Máquina para Classificação da Opinião Política dos Usuários".ㅤ ㅤㅤㅤㅤㅤㅤㅤㅤ ㅤㅤㅤㅤen-US –– Data and R scripts from my undergraduate thesis about "Data Mining in Twitter: Machine Learning for the Users' Political Opinion Classification".

Social Networks FER Lab

BSc thesis code

Scripts for investigating a link between tweets and vaccination rates

Iniciação Científica UFABC 2018-2019

Ever wondered how many followers you share with your favourite celeb easy R script using rtweet and VennDiagram to find out

A Shiny web application that uses tweets for sentiment and frequency analysis.

Predicting stock market performance using Twitter sentiments on COVID-19.

Analyze how people perceive plant-based diets online and generate marketing insights on the plant-based products.

This project was made in R just to know the actual reason behind knowing why people are using python over R. We have implemented naive bayes algorithm in R programming. Give a ⭐ if this project have helped you.

The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.