Sentiment Analysis Tool
Project description
Sentiment Analysis Tool
A tool for analyzing the sentiment of text using Hugging Face's transformers library. This tool provides simple sentiment analysis capabilities, classifying text as POSITIVE, NEGATIVE, or NEUTRAL.
Installation
pip install swarmauri_tool_sentimentanalysis
Usage
Here's a basic example of how to use the Sentiment Analysis Tool:
from swarmauri.tools.SentimentAnalysisTool import SentimentAnalysisTool
# Initialize the tool
tool = SentimentAnalysisTool()
# Analyze sentiment
result = tool("I love this product!")
print(result) # {'sentiment': 'POSITIVE'}
# Another example
result = tool("This product is okay.")
print(result) # {'sentiment': 'NEUTRAL'}
Want to help?
If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.
Project details
Release history Release notifications | RSS feed
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 swarmauri_tool_sentimentanalysis-0.6.0.tar.gz.
File metadata
- Download URL: swarmauri_tool_sentimentanalysis-0.6.0.tar.gz
- Upload date:
- Size: 6.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.12.9 Linux/6.8.0-1021-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8a1c72ad612110e12c21cc9aac2129e4f72aaeb611246bd66d503f3bb3020b8d
|
|
| MD5 |
fe80ec9983511767e4e8fcbf4bd1dd1f
|
|
| BLAKE2b-256 |
9ed72fcdf18b20a5ef40db1491a6d3d287a0a7d3d6c3b69fb513ec71dae3b82c
|
File details
Details for the file swarmauri_tool_sentimentanalysis-0.6.0-py3-none-any.whl.
File metadata
- Download URL: swarmauri_tool_sentimentanalysis-0.6.0-py3-none-any.whl
- Upload date:
- Size: 7.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.1.1 CPython/3.12.9 Linux/6.8.0-1021-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a090e62413ad2c809e2d469f40e054f65cc01415011c21fe5f9f0c2ce42e109c
|
|
| MD5 |
55eca2f5ba60792c711c3fe742ed874b
|
|
| BLAKE2b-256 |
42f25b602a0752df8483540b8f8e3b53243fd81a5bc4de47484547d1f65b8297
|