PyDigger - unearthing stuff about Python


NameVersionSummarydate
amazon-review-analyzer 1.1.1 Amazon Product Reviews Analyzer 2024-01-17 20:12:16
Review-Analyzer 1.0.0 Amazon Product Reviews Analyzer 2024-01-17 18:30:30
watson-nlp-runtime-client 2.0.1 Watson Embedded AI runtime client library for Watson_nlp 2023-11-18 05:04:53
senpy 1.0.7 A sentiment analysis server implementation. Designed to be extensible, so new algorithms and sources can be used. 2023-09-27 10:52:59
lettria 6.0.2 Lettria official SDK for python 2023-09-26 13:46:02
Texo 0.0.4 Sentiment Analysis Multiple language and for all products 2023-07-09 15:34:19
Texo-v1 0.0.2 Sentiment Analysis Multiple language and for all products 2023-06-18 16:12:15
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
reddit-sentiment 1.0 Reddit Sentiment Analyzer 2023-05-31 22:32:29
sentiment-stock-plot 0.0.2 This is a library that provides a foundation for a sentiment stock plot 2023-04-23 07:53:41
dash-data-prep 0.0.2 This is a library that gathers VADER sentiment scores for files 2023-04-23 07:49:55
sentimentizer 0.6.5 straight forward rnn model 2023-03-21 23:02:17
sentimental-onix 0.0.2 spacy pipeline component for sentiment analysis using onnx 2023-03-15 21:56:53
spacy-onnx-sentiment-english 0.0.2 spacy pipeline component for english sentiment analysis using onnx 2023-03-14 23:35:01
intramove 0.0.15 A client for interacting with Intramove.ai API 2022-12-29 20:11:18
leia-br 0.0.1 LeIA (Léxico para Inferência Adaptada) é um fork do léxico e ferramenta para análise de sentimentos VADER (Valence Aware Dictionary and sEntiment Reasoner) adaptado para textos em português. 2022-12-09 05:51:06
hourdayweektotal
368739349274571
Elapsed time: 3.11476s