No project description provided
Project description
Project Summary
This Python package facilitates part-of-speech (POS) tagging for input sentences, utilizing advanced generative AI technologies. The package is designed to enhance natural language processing (NLP) capabilities by accurately identifying the grammatical categories of each word within a given sentence. By employing Google Gemini's LLM in conjunction with LangChain, the package leverages state-of-the-art AI models to deliver precise tagging results.
Features
- Generative AI Integration: Utilizes Google Gemini's capabilities to generate accurate POS tags for words in sentences.
- User-Friendly Interface: Simplifies the process of tagging by allowing users to input sentences directly and receive tagged outputs.
- Comprehensive Tagging: Supports a wide range of grammatical categories, including nouns, verbs, adjectives, adverbs, and more.
- Efficient Processing: Optimized for performance, ensuring rapid tagging even for longer sentences.
Installation
To install the package, use pip
pip install your-package-name
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pos_tagging-0.6.3.tar.gz.
File metadata
- Download URL: pos_tagging-0.6.3.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3682afdc70dace5dde6a801a23bfac5209953719ae01f5d8ebf0ef2be8ab839c
|
|
| MD5 |
f045fbd1b43c7c9dd82dadfd540e7b29
|
|
| BLAKE2b-256 |
9814c6c5ec81287ba7abda1ff4821ef05d9cd2419513a4636cf92c8f33770b32
|
File details
Details for the file pos_tagging-0.6.3-py3-none-any.whl.
File metadata
- Download URL: pos_tagging-0.6.3-py3-none-any.whl
- Upload date:
- Size: 2.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fb06182a5339871674435bc206e6d3f791f584bbe648fadc50433849fd1367ea
|
|
| MD5 |
0141b86506ac8eb8625489d3494a43b8
|
|
| BLAKE2b-256 |
4d27e119dc72208eb3b3118233d7fc9d1281ef9713ea0ca62886e1669baaa1af
|