There are 2 repositories under text-corpus topic.
MirasText
This is a german text corpus from Wikipedia. It is cleaned, preprocessed and sentence splitted. It's purpose is to train NLP embeddings like fastText or ELMo Deep contextualized word representations.
This is the distribution point for the NUS SMS Corpus as described and updated from This is a corpus of SMS (Short Message Service) messages collected for research at the Department of Computer Science at the National University of Singapore. This dataset consists of 67,093 SMS messages taken from the corpus on Mar 9, 2015. The messages largely originate from Singaporeans and mostly from students attending the University. These messages were collected from volunteers who were made aware that their contributions were going to be made publicly available. The data collectors opportunistically collected as much metadata about the messages and their senders as possible, so as to enable different types of analyses. This corpus was collected by Tao Chen and Min-Yen Kan. If you use this data, please ensure the following paper is cited. For more details, please refer to Citation field. Tao Chen and Min-Yen Kan (2013). Creating a Live, Public Short Message Service Corpus: The NUS SMS Corpus. Language Resources and Evaluation, 47(2)(2013), pages 299-355. URL: https://link.springer.com/article/10.1007%2Fs10579-012-9197-9
A project that extracts Honkai: Star Rail text corpus
AsoSoft Text Corpus is the first large scale text corpus for the Kurdish language.
Statistical text analysis and semantic networks with Python
Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus
Command-line corpus tools
Search a long list of names (patterns) in a large text corpus systematically and quickly
A framework for semantic text search
Text corpus the of Tlingit language for linguistic research.
text corpus :page_with_curl: scraped from the scripts :speech_balloon: of all Seinfeld episodes
Crawling data from websites as text corpus
A model was trained using Google handwritten Fonts using a text corpus containing only digits ranging from 0-9. The main aim was to recognize ICR sheets from such trained data. Our model gave an accuracy of 94.6% using Tesseract Version-4.
A text corpus collection for the DroppedText language.
Using natural language processing techniques to determine the sentiment expressed in a tweet, classified as positive or negative.
Walk through to convert WikiMedia into a text corpus
This is a tool which can be used to index and query a large XML-based text corpus using Elasticsearch.
Sentiment analysis models using NLP and other important basics of NLP and subwords and a song lyric generator!
A collection of encoded archival description XML documents for text and content analysis.
Simple utility to filter out text corpus according to frequencies of words consisting sentences in it
Walk through to convert congressional roll call votes into a text corpus
Walk through to convert Kaggle's COVID-19 Open Research Dataset Challenge into a text corpus
"Text Analyzer" is a web application designed to analyze any given text or script and provide users with useful information about its contents.
Expanding sentences in a given text corpus. The code checks for NE in sentences and create new sentences by injecting new NEs from NE list.
Exploring the history of word usage in English texts with a weighted popularity history plot.