Hebrew Content Sentiment Analysis

Analyzes the sentiment of given Hebrew text to determine if it is positive, negative, or neutral. This skill is crucial for understanding audience perception of content.

תחום: תוכן

מתי להשתמש

Invoke this skill when you need to quickly assess the emotional tone or sentiment of Hebrew social media posts, customer reviews, or articles to guide content strategy or public relations responses.

תגיות: hebrew, sentiment-analysis, content-strategy, nlp

SKILL.md

--- name: Hebrew Content Sentiment Analysis description: Analyzes the sentiment of given Hebrew text to determine if it is positive, negative, or neutral. This skill is crucial for understanding audience perception of content. --- ## Overview This skill provides an advanced sentiment analysis capability specifically tailored for the Hebrew language. It leverages a pre-trained model to accurately classify the emotional tone of text as positive, negative, or neutral, offering content professionals a powerful tool for monitoring and strategizing. ## When to use Use this skill when you need to quickly understand the emotional reception of your content in Hebrew-speaking markets. This includes analyzing social media feedback, customer service interactions, news articles, or competitor content to inform content creation, marketing campaigns, and crisis management. ## How it works 1. **Input Hebrew Text**: Provide the Hebrew text you wish to analyze. 2. **Preprocessing**: The skill preprocesses the text, handling Hebrew specific linguistic nuances like morphology and sentence structure. 3. **Sentiment Classification**: A specialized deep learning model, trained on a large corpus of Hebrew text, classifies the sentiment into one of three categories: Positive, Negative, or Neutral. 4. **Output Sentiment and Confidence**: The skill returns the predicted sentiment along with a confidence score, indicating the certainty of the classification. ## Example usage **User Input:** "המוצר החדש שלכם מדהים! ממש אהבתי את התכונות החדשות." (Your new product is amazing! I really loved the new features.) **Expected Output (Conceptual):** Sentiment: Positive Confidence: 0.98 **User Input:** "השירות על הפנים, אני מאוכזב מאוד מהתמיכה שקיבלתי." (The service is terrible, I am very disappointed with the support I received.) **Expected Output (Conceptual):** Sentiment: Negative Confidence: 0.95 **User Input:** "המאמר דן בנושאים רבים אך לא מביע עמדה ברורה." (The article discusses many topics but does not express a clear stance.) **Expected Output (Conceptual):** Sentiment: Neutral Confidence: 0.87 ## References * [Hate Speech and Sentiment Analysis in Hebrew Texts](https://aclanthology.org/2020.hebrew-1.12/) * [Deep Learning for Sentiment Analysis of Hebrew Text](https://www.mdpi.com/2078-2489/13/10/507)