Weekly Topic Analysis and Sentiment Breakdown
1. Data Collection:
- Gather your text data for the week — this could be social media posts, customer feedback, emails, survey responses, news articles, etc.
2. Topic Analysis:
- Extract the main topics or themes discussed during the week.
- Group similar topics or keywords.
- Identify the frequency or prominence of each topic.
3. Sentiment Analysis:
- Analyze the sentiment associated with each topic.
- Categorize sentiments into Positive, Negative, Neutral (or more nuanced scales like Very Positive, Positive, Neutral, Negative, Very Negative).
- Calculate sentiment scores or percentages per topic.
4. Summary Report:
- Provide an overview of the most talked-about topics.
- Show sentiment trends over the week.
- Highlight any significant shifts or emerging themes.
Example Output Format
Topic | Frequency | Sentiment Breakdown | Notes/Insights |
---|---|---|---|
Customer Support | 120 | 70% Positive, 20% Neutral, 10% Negative | Mostly positive feedback on recent update, some complaints on wait times |
Product Quality | 95 | 50% Positive, 30% Neutral, 20% Negative | Concerns about durability raised |
Pricing | 40 | 30% Positive, 50% Neutral, 20% Negative | Mixed reactions; some find it affordable, others too high |
New Features | 80 | 80% Positive, 15% Neutral, 5% Negative | High excitement about new launch |
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