quanteda
There are 0 repository under quanteda topic.
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- Language:R 64
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m-clark / text-analysis-with-R
:book: :books: :newspaper: Workshop that demonstrates using and analyzing text in R.
Language:R 25- text2landscape
aourednik / text2landscape
Visualize a corpus of texts as a landscape with the aid of text mining, graph visualization and self-organizing maps
- Language:R 20
louismagowan / lyrics_analysis
Analysis of Billboard Top 100 song lyrics in the US from 1958 - 2021. Sentiment analysis and lexical diversity analysis.
Language:HTML 16davidbroska / Computational-Political-Science
Repository for Computational Political Science course at Zeppelin University
Language:HTML 15RCJansonVTFL / Text-Analytics-with-Congressional-Speeches
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
Language:R 3- 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 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 2jessmhoehner / tidy_modeling
Explorations of modeling using tidyverse tools
Language:HTML 1lvcruzh / amlo_morning_speeches
Analysing Mexico’s President speeches: A study of political propaganda and populist rhetoric using NLP methods
- 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 0deankuo / 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 0kuslitsanna / AHRC_awards
Semi-supervised LDA topic modelling and analysis of AHRC research grant application abstracts
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
MonyakeR / wordcloud
A word cloud generating app for text visualisation. Supports multi-word keywords.
Language:R 0pwr-usr / friends-text-analysis
Cultural Relevance of Friends Sitcom through Quantitative Text Analysis
Language:HTML 0rawanmabbas / 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.
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snsn3 / applied_quanteda
Technique for analyzing qualitative content quantitatively
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:HTML- 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:RSimu49 / text_as_data
Sentiment analysis of German Bundestag speeches (1949-2021) examining whether opposition parties use more negative language than governing parties. Uses R, quanteda, and Rauh's German Political Sentiment Dictionary to analyze 72 years of parliamentary discourse.
Language:Rstoropoli / topic-modeling-workshop
Slides for Topic Modeling Workshop
Language:R
