quanteda
There are 0 repository under quanteda topic.
- Language:R 829
- Language:R 115
- Language:R 56
- Language:R 54
- Language:CSS 39
- Language:R 28
m-clark / text-analysis-with-R
:book: :books: :newspaper: Workshop that demonstrates using and analyzing text in R.
Language:R 23davidycliao / redguards
This is a designed package for replicating the estimates and findings in the article of Factionalism and the Red Guards under Mao's China: Ideal Point Estimation Using Text Data.
Language:R 20- Language:R 18
louismagowan / lyrics_analysis
Analysis of Billboard Top 100 song lyrics in the US from 1958 - 2021. Sentiment analysis and lexical diversity analysis.
Language:HTML 15davidbroska / Computational-Political-Science
Repository for Computational Political Science course at Zeppelin University
Language:HTML 13- text2landscape
aourednik / text2landscape
Visualize a corpus of texts as a landscape with the aid of text mining, graph visualization and self-organizing maps
- Language:HTML 2
intro-to-data-science-21-workshop / 14-LauraMenicacci-quanteda
This repository introduces you to the basics of the quanteda package, presented by Laura Menicacci and Dinah Rabe in the context of the Introduction for Data Science workshop, organised by Prof. Simon Munzert at the Hertie School (Berlin) in November 2021.
Language:HTML 2RCJansonVTFL / Text-Analytics-with-Congressional-Speeches
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
Language:R 2thelautiff / UN_meeting_records
From using xpdf, rvest, and quanteda on United Nations Digital Library search results to applying dictionaries to speeches in United Nations meeting records
Language:R 2deankuo / Japan-Manifesto-Classification
This repository contain the process that how I deal with Japanese manifestos and conduct a LDA model on the data
Language:Jupyter Notebook 1giovanni-cutri / lyrics-text-mining
Text mining techniques conducted on lyrics of some popular songs.
Language:HTML 1jessmhoehner / tidy_modeling
Explorations of modeling using tidyverse tools
Language:HTML 1- Language:CSS 1
ali-unlu / Comparison-of-Finnish-Sentiment-dictionaries
Sentiment analysis for the Finnish Language
Language:HTML 0codrin-kruijne / data-science-capstone
Coursera Data Science Specialization Capston project
Language:HTML 0- Language:Jupyter Notebook 0
lvcruzh / amlo_morning_speeches
Analysing Mexico’s President speeches: A study of political propaganda and populist rhetoric using NLP methods
0MonyakeR / wordcloud
A word cloud generating app for text visualisation. Supports multi-word keywords.
Language:R 0- 0
- ryrstudio
agusnieto77 / ryrstudio
Introducción a la recolección y análisis de datos con R y RStudio
Language:HTML intro-to-data-science-22-workshop / 10-Text-analysis-with-quanteda-roa-fonseca-kraess
Welcome to the amazing world of quanteda. Text analysis, allocations, sentiment analysis and more. Welcome!
Language:HTMLkuslitsanna / AHRC_awards
Semi-supervised LDA topic modelling and analysis of AHRC research grant application abstracts
Language:Jupyter Notebook- Language:HTML
linocondor / Youtube-Trending-videos-Comments-analysis
Youtube Trending videos, comment analysis
Language:HTMLnerudista / nerustwitter
Paquete para la creación rápida de estadísticas descriptivas en corpus de texto
Language:Rrawanmabbas / Text-Analytics-UChicago
I was a visiting scholar at the University of Chicago 2021-2022 where I took a grad/undergrad class called Inroduction to Text as Data for Social Science. The class focused on APIs and web-scraping. It also focused on natural language processing (NLP), machine learning, sentiment analysis, topic models, supervised classification, and word embeddings. These are some of the projects I did in class.
storopoli / topic-modeling-workshop
Slides for Topic Modeling Workshop
Language:R
