Metadata-Version: 2.4
Name: HumanTone
Version: 0.1.4
Summary: A unique sentiment analysis library with paraphrasing, contextual similarity, and speech output.
Author: Vansh Gautam
Author-email: vanshgautam2005@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: transformers
Requires-Dist: textblob
Requires-Dist: nltk
Requires-Dist: sentence-transformers
Requires-Dist: pyttsx3
Requires-Dist: torch
Requires-Dist: scipy
Requires-Dist: pandas
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Humanlike Sentiment:

HumanTone is a powerful and intuitive Natural Language Processing (NLP) library designed to enhance human-like text processing and interaction. It integrates advanced sentiment analysis, intelligent text paraphrasing, semantic similarity detection, and natural speech synthesis, making it an all-in-one solution for text-based AI applications.

## Features

Key Features:

✅ Sentiment Analysis – Accurately determines the emotional tone of a given text (Positive, Negative, Neutral) with confidence scores.
✅ Paraphrasing – Generates high-quality paraphrases while maintaining semantic meaning, improving text diversity and readability.
✅ Text Similarity Detection – Compares sentences for semantic similarity, aiding in duplicate detection, question-answering, and recommendation systems.
✅ Speech Synthesis – Converts text into natural-sounding speech using text-to-speech (TTS) technology.

HumanTone is ideal for chatbots, content generation, virtual assistants, and AI-driven conversations, helping developers create more natural and engaging user experiences. Designed for ease of use, it ensures seamless integration into Python projects.

## Installation:

```bash
pip install git+https://github.com/yourgithub/humanlike_sentiment.git



*** Usage Example:

from HumanTone import HumanToneParaphraser, analyze_sentiment, HumanToneSimilarity, speak

paraphraser = HumanToneParaphraser()
print(paraphraser.paraphrase("The weather is nice today."))

print(analyze_sentiment("I love programming!"))

print(HumanToneSimilarity.analyze_similarity("The sun is shining", "It's a sunny day"))

speak("Welcome to HumanTone!")





