Extracting positive and negative sentiments using tidytext package (for text analysis), janeaustenr package (for the dataset) and visualising the data using ggplot and wordcloud
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Updated
Dec 5, 2020 - R
Extracting positive and negative sentiments using tidytext package (for text analysis), janeaustenr package (for the dataset) and visualising the data using ggplot and wordcloud
R script to analyze two different music artist based on the words used in albums or songs. I have used geniusR library to gather the songs lyrics.
Exploratory analysis on whatsapp chat text data. tidytext package
Topic Modeling of US Presidential Speeches
This application is designed to get tweets through API such that it contain a specific mention or hashtag
Here I keep my Deep Learning Projects
The Project contains a brief analysis of similar authors on the theme of Alice's Adventures in Wonderland
A project for ECON4170 at the University of Oslo. Text mining and simple text classification using tidymodels.
An analysis I performed using R on the comments submitted on a reddit discussion.
Como vota, deputado? Post sobre a análise dos discursos na votação da primeira denúncia contra o Temer
This shiny app explores the transcripts of the Government Digital Service podcast, analysing the transcripts for sentiment and characteristics.
Works of P. G. Wodehouse, pulled from Project Guttenberg, and poured into a package for text analysis
Significance testing for collocates.
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