القائمة
Analyse text files for sentiment polarity (positive/negative/neutral) using keyword-based scoring.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | text-sentiment-scorer |
| description | Analyse text files for sentiment polarity (positive/negative/neutral) using keyword-based scoring. |
| version | 1.0.0 |
Performs keyword-based sentiment analysis on plain text files. Assigns each sentence a polarity score (-1.0 to +1.0) and computes an overall document sentiment. Useful for customer feedback analysis, social media monitoring, and support ticket triage.
| Parameter | Flag | Required | Description |
|---|---|---|---|
| input | -i | Yes | Path to the input text file |
| output | -o | Yes | Path to the output JSON report |
| language | --lang | No | Language code (default: en) |
{
"source": "<input_file>",
"overall_sentiment": 0.35,
"confidence": 0.72,
"label": "positive",
"sentences": [
{"text": "Great product!", "score": 0.8},
{"text": "Delivery was slow.", "score": -0.3}
]
}
python3 ./skills/text-sentiment-scorer/sentiment_scorer.py -i <input.txt> -o <report.json> \
[--lang en]
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