Analytics by Babel Street
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
Quick Start
Installation
pip install rosette_api
Examples
View small example programs for each Analytics endpoint in the examples directory.
Documentation & Support
- Binding API
- Analytics Platform API
- Binding Release Notes
- Analytics Platform Release Notes
- Support
- Binding License: Apache 2.0
Binding Developer Information
If you are modifying the binding code, please refer to the developer README file.
Metadata
Release files for rosette-api 1.39.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| rosette_api-1.39.0.tar.gz | 17.1 kB | Without provenance | Details for rosette_api-1.39.0.tar.gz |
Release files / rosette_api-1.39.0.tar.gz
| Download URL | rosette_api-1.39.0.tar.gz |
|---|---|
| Size | 17.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1344da505f8f597dc282ebc92954f0ab59c3d9a2ac80486e2e7399bfa5c6bea4
|
|
BLAKE2b-256 checksum How to use checksums |
7fd01647d8db1e5fb75c7a85985c752c385b00c19cfb44a898e7bed783df113e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Security for rosette-api 1.39.0
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