Name | Version | Summary | date |
bent |
0.0.54 |
BENT: Biomedical Entity Annotator |
2024-04-30 12:54:38 |
augmenty |
1.4.4 |
An augmentation library based on SpaCy for joint augmentation of text and labels. |
2024-03-19 09:35:33 |
storynavigator |
0.0.18 |
Narrative analysis add-on for the Orange 3 data mining software package. |
2024-02-25 20:04:59 |
textmining-module |
0.1.3 |
A Python Module for Comprehensive Text Mining, including Keyword Extraction and Text Analysis. |
2024-02-19 13:21:27 |
huspacy-nightly |
0.11.0.dev261 |
HuSpaCy: industrial strength Hungarian natural language processing |
2024-01-03 19:48:33 |
nlpia2 |
0.0.42 |
Natural language processing utilities and examples for the book Natural Language Processing in Action (nlpia) 2nd Edition by Hobson Lane and Maria Dyshel. |
2024-01-01 01:45:29 |
nessvec |
0.1.14 |
Word embeddings with meaningful dimensions for better explainability. |
2024-01-01 01:32:45 |
pdfminer.six |
20231228 |
PDF parser and analyzer |
2023-12-28 21:25:32 |
cntext |
1.9.0 |
Chinese text analysis library, which can perform word frequency statistics, dictionary expansion, sentiment analysis, similarity, readability, co-occurrence analysis, social calculation (attitude, prejudice, culture) on texts |
2023-12-28 04:21:41 |
bibx |
0.0.1a8 |
Python bibliometric tools. |
2023-12-03 15:33:29 |
nlpbaselines |
0.0.49 |
Quickly establish strong baselines for NLP tasks |
2023-11-14 17:25:59 |
huspacy |
0.11.0 |
HuSpaCy: industrial strength Hungarian natural language processing |
2023-10-27 08:36:29 |
slang |
0.1.12 |
A structural approach to signal ML |
2023-10-26 15:48:47 |
spacy-wrap |
1.4.5 |
Wrappers for including pre-trained transformers in spaCy pipelines |
2023-10-24 09:58:54 |
pdfdocx |
1.7 |
读取pdf、docx文件,返回文件内的文本数据。 |
2023-09-10 09:34:00 |
gorpy |
2.0.4 |
Grep tool with extensions for reading files in many different ways |
2023-09-01 01:49:43 |
hades-nlp |
0.1.2 |
Homologous Automated Document Exploration and Summarization - A powerful tool for comparing similarly structured documents |
2023-08-07 11:12:19 |
seedot |
2.1 |
SEEDOT: Tool for Enhancing Sentiment Lexicon with Machine Learning |
2023-06-10 15:23:10 |
GROGU1 |
1.1 |
Pacchetto contentente 4 dizionari che fungono da miglioramento di Vader per argomanti specifici, quali recensioni di cibi, finanza, recensioni Disneyland e recensioni di prodotti elettronici. Il pacchetto è creato a partire da quello cjhutto (https://github.com/cjhutto/vaderSentiment) |
2023-06-09 16:15:55 |
textprepro |
0.0.1 |
Everything Everyway All At Once Text Preprocessing. |
2023-05-11 11:40:07 |