Skip to main content

Sentiment Analysis Tool

Project description

Swamauri Logo

PyPI - Downloads GitHub Hits PyPI - Python Version PyPI - License PyPI - swarmauri_tool_sentimentanalysis


Swarmauri Tool Sentimentanalysis

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

swarmauri_tool_sentimentanalysis-0.7.3.tar.gz (6.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file swarmauri_tool_sentimentanalysis-0.7.3.tar.gz.

File metadata

File hashes

Hashes for swarmauri_tool_sentimentanalysis-0.7.3.tar.gz
Algorithm Hash digest
SHA256 a9dfe51a62adcc722cd24aa08198cd7c7e1ff7df690624ba037d09a7b9413569
MD5 51ef5e3e9e51e57c5039cf9beafdfc22
BLAKE2b-256 3cfad19c6cdddaf0c03381ded5a1c52494253d5015a3b1254c36ebabebe14919

See more details on using hashes here.

File details

Details for the file swarmauri_tool_sentimentanalysis-0.7.3-py3-none-any.whl.

File metadata

File hashes

Hashes for swarmauri_tool_sentimentanalysis-0.7.3-py3-none-any.whl
Algorithm Hash digest
SHA256 ee29f0dedc8e9e514168e5dd9d0cf31fa7152c2c41e01868a6e8f69cb881f969
MD5 7d249e0dbdecc4484e6dd6848e403b3b
BLAKE2b-256 0bce6e3b922d92a845976dcb8d2fa410671f9810fff66afc5278ac9d2dffc5b3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page