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sentiment-analysis

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xtinkarpiu commited on Aug 8, 2025

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Updated readme.md, edited format of file

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@@ -32,7 +32,7 @@ Author: Kristine Karp (karpkristine@gmail.com)
 ## ⚙️ Workflow Overview
 This project implements a real-time sentiment analysis ETL pipeline using **Python scripts**, all orchestrated with **Docker**:
-1. **Extract** - `producer.py` connects to Twitter API for live streaming, or mock_tweet_producer.py generates realistic demo data for testing or hugging face demonstration purposes.
 2. **Transform** -  Apache Kafka ingests tweets under 'sentiment-topic', while `consumer.py` applies sentiment analysis using Spark streaming.
 3. **Load** -  Processed results are published to 'sentiment-results' topic and displayed in real-time, also in `consumer.py`.
 4. **Visualization** - `dashboard.py` provides a web interface with live sentiment metrics and trend charts.

 ## ⚙️ Workflow Overview
 This project implements a real-time sentiment analysis ETL pipeline using **Python scripts**, all orchestrated with **Docker**:
+1. **Extract** - `producer.py` connects to Twitter API for live streaming, or `mock_tweet_producer.py` generates realistic demo data for testing or hugging face demonstration purposes.
 2. **Transform** -  Apache Kafka ingests tweets under 'sentiment-topic', while `consumer.py` applies sentiment analysis using Spark streaming.
 3. **Load** -  Processed results are published to 'sentiment-results' topic and displayed in real-time, also in `consumer.py`.
 4. **Visualization** - `dashboard.py` provides a web interface with live sentiment metrics and trend charts.