code2k13/nlphose
Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !
This tool helps you quickly build customized text analysis workflows, even if you're not a programmer. You feed it raw text from files or live streams, and it processes that text to identify sentiments, recognize names, extract answers to questions, or classify content. Anyone needing to process and understand large amounts of text, like a market researcher or social media analyst, would find this useful.
No commits in the last 6 months.
Use this if you need to perform multiple advanced text operations like sentiment analysis, entity recognition, or question answering on a continuous stream of data or a large collection of documents without writing complex code.
Not ideal if you only need very basic text search or filtering, or if your text analysis needs are highly specialized and require deep custom algorithm development.
Stars
10
Forks
1
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jan 25, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/code2k13/nlphose"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
nltk/nltk
NLTK Source
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
undertheseanlp/underthesea
Underthesea - Vietnamese NLP Toolkit
stanfordnlp/stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many...
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)