https://github.com/rosette-api/python
Babel Street Analytics Client Library for Python
https://github.com/rosette-api/python
categorization entity-extraction fuzzy-matching language-detection language-identification lemmatization machine-learning morphology name-generation name-similarity name-translation natural-language-processing nlp python relation-extraction sentiment-analysis text text-analysis text-mining tokenization
Last synced: 3 months ago
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Babel Street Analytics Client Library for Python
- Host: GitHub
- URL: https://github.com/rosette-api/python
- Owner: rosette-api
- License: other
- Created: 2015-07-10T00:29:35.000Z (almost 10 years ago)
- Default Branch: develop
- Last Pushed: 2025-03-11T19:17:44.000Z (4 months ago)
- Last Synced: 2025-03-28T19:06:11.126Z (3 months ago)
- Topics: categorization, entity-extraction, fuzzy-matching, language-detection, language-identification, lemmatization, machine-learning, morphology, name-generation, name-similarity, name-translation, natural-language-processing, nlp, python, relation-extraction, sentiment-analysis, text, text-analysis, text-mining, tokenization
- Language: Python
- Homepage:
- Size: 1.63 MB
- Stars: 38
- Watchers: 16
- Forks: 38
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Analytics by Babel Street
[](https://badge.fury.io/py/rosette-api)
[](https://img.shields.io/pypi/pyversions/rosette-api.svg?color=dark%20green&label=Python%20Versions)
Our product is a full text processing pipeline from data preparation to extracting the most relevant information and
analysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundational
linguistic analysis for identifying languages and relating words. The result is enriched and normalized text for
high-speed search and processing without translation.
Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds the
structure of associating those entities into events that deliver only the necessary information for near real-time
decision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.
The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands search
beyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction help
filter results to what’s relevant.
## Analytics API Access
- Analytics Cloud [Sign Up](https://developer.babelstreet.com/signup)
## Quick Start
#### Installation
`pip install rosette_api`
#### Examples
View small example programs for each Analytics endpoint
in the [examples](https://github.com/rosette-api/python/tree/develop/examples) directory.
#### Documentation & Support
- [Binding API](https://rosette-api.github.io/python/)
- [Analytics Platform API](https://docs.babelstreet.com/API/en/index-en.html)
- [Binding Release Notes](https://github.com/rosette-api/python/wiki/Release-Notes)
- [Analytics Platform Release Notes](https://docs.babelstreet.com/Release/en/rosette-cloud.html)
- [Support](https://babelstreet.my.site.com/support/s/)
- [Binding License: Apache 2.0](https://github.com/rosette-api/python/blob/develop/LICENSE.txt)
## Binding Developer Information
If you are modifying the binding code, please refer to the [developer README](https://github.com/rosette-api/python/tree/develop/DEVELOPER.md) file.