text2vec: Modern Text Mining Framework for R

Canonical link: https://rscholar.com/pkg/text2vec

Dmitriy Selivanov • Manuel Bickel • Qing Wang • View description and downloads View dependencies GitHub project

2016 Published

0 Citations

3 Authors

9 Revisions

0.6.6 Version

GPL-2 License

Referenced by ⇅	Year
textfeatures: Extracts Features from Text (Version 0.3.3)	2018
NUSS: Mixed N-Grams and Unigram Sequence Segmentation (Version 0.1.0)	2024
PsychWordVec: Word Embedding Research Framework for Psychological Science (Version 2025.11)	2022
blocking: Various Blocking Methods for Entity Resolution (Version 1.0.1)	2025
conText: 'a la Carte' on Text (ConText) Embedding Regression (Version 3.0.0)	2021
fdm2id: Data Mining and R Programming for Beginners (Version 0.9.9)	2019
lime: Local Interpretable Model-Agnostic Explanations (Version 0.5.4)	2017
manydata: Many Global Governance Datacubes (Version 1.1.3)	2022
occupationMeasurement: Interactively Measure Occupations in Interviews and Beyond (Version 0.3.2)	2023
oolong: Create Validation Tests for Automated Content Analysis (Version 0.6.1)	2020
polyglotr: Translate Text (Version 1.7.1)	2023
quanteda: Quantitative Analysis of Textual Data (Version 4.3.1)	2015
regtools: Regression and Classification Tools (Version 1.7.0)	2016
sentiment.ai: Simple Sentiment Analysis Using Deep Learning (Version 0.1.1)	2022
text2emotion: Emotion Analysis and Emoji Mapping for Text (Version 0.1.0)	2025
text2map: R Tools for Text Matrices, Embeddings, and Networks (Version 0.2.0)	2021
textmineR: Functions for Text Mining and Topic Modeling (Version 3.0.6)	2015
textrecipes: Extra 'Recipes' for Text Processing (Version 1.1.0)	2018
wactor: Word Factor Vectors (Version 0.0.1)	2019
wordsalad: Provide Tools to Extract and Analyze Word Vectors (Version 0.2.0)	2020

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