esanalyzer

The Python Emotion Analysis and Sentiment Analysis library you've been looking for.

## Services
- Emotion Analysis("fear", "anger", "surprise", "sadness", "disgust", "joy")
- Sentiment Analysis("Positive","Negative","Neutral")
- Multi Language Support
- Emoji Support
- Unicodedata Support
- Filter Out Special Characters

## Supported Python Version
- 3.12.3

## Usage
- Install using `pip install esanalyzer`

```python
from esanalyzer import EmotionAnalyzer

#Instance Config
#default requiredOnly = {"sentiment":True,"emotions":False,"googleTranslate":False}
requiredOnly = {"sentiment":True,"emotions":True,"googleTranslate":True}

# Create an instance of EmotionAnalyzer
analyzer = EmotionAnalyzer(requiredOnly)

# Call the analyze method with the text
text = "Wow, I am so happy"
result = analyzer.analyze(text)

# Use the result as needed
print(result)


{'library': 'default', 'result': {'surprise': 80}, 'max_prediction': {'label': 'surprise', 'percentage': 80}, 'sentiment': 'Positive', 'sentiment_score': 0.999592125415802, 'threshold_value': 0.8}

```

Metadata

Release files for esanalyzer 1.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for esanalyzer 1.2.2
File	Interpreter	ABI	Platform	Reset
esanalyzer-1.2.2-py3-none-any.whl 8.7 kB Jan 28, 2025	Python 3	none	any	Details

Release files / esanalyzer-1.2.2-py3-none-any.whl

Download URL	esanalyzer-1.2.2-py3-none-any.whl
Size	8.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`997ef996fac73d4023649bd11d8d53988f8bb5399654401284925f693e78cc54`
BLAKE2b-256 checksum How to use checksums	`540975e6dc966c7306d38d38fc0399da85480379228f369d5b482ecf71d2cd08`
Upload date	Jan 28, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.0.0 CPython/3.11.7`