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abuchmueller

Twitmo:Twitter Topic Modeling and Visualization for R

Tailored for topic modeling with tweets and fit for visualization tasks in R. Collect, pre-process and analyze the contents of tweets using LDA and structural topic models (STM). Comes with visualizing capabilities like tweet and hashtag maps and built-in support for 'LDAvis'.

Maintained by Andreas Buchmueller. Last updated 3 years ago.

ctmgeospatialldanlpstmtopic-modelingtwittertwitter-api

20 stars 4.69 score 49 scripts

chaoliu-cl

Goodreader:Scrape and Analyze 'Goodreads' Book Data

A comprehensive toolkit for scraping and analyzing book data from <https://www.goodreads.com/>. This package provides functions to search for books, scrape book details and reviews, perform sentiment analysis on reviews, and conduct topic modeling. It's designed for researchers, data analysts, and book enthusiasts who want to gain insights from 'Goodreads' data.

Maintained by Chao Liu. Last updated 27 days ago.

4.40 score 5 scripts

cran

miRetrieve:miRNA Text Mining in Abstracts

Providing tools for microRNA (miRNA) text mining. miRetrieve summarizes miRNA literature by extracting, counting, and analyzing miRNA names, thus aiming at gaining biological insights into a large amount of text within a short period of time. To do so, miRetrieve uses regular expressions to extract miRNAs and tokenization to identify meaningful miRNA associations. In addition, miRetrieve uses the latest miRTarBase version 8.0 (Hsi-Yuan Huang et al. (2020) "miRTarBase 2020: updates to the experimentally validated microRNA–target interaction database" <doi:10.1093/nar/gkz896>) to display field-specific miRNA-mRNA interactions. The most important functions are available as a Shiny web application under <https://miretrieve.shinyapps.io/miRetrieve/>.

Maintained by Julian Friedrich. Last updated 4 years ago.

1.70 score

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