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README.md

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+# Social Media Sentiment Datasets
+
+## Dataset Description
+
+Customer posts and complaints from social media platforms
+
+## Dataset Information
+
+- **Category**: Customer Experience and Sentiment
+- **Format**: CSV, Parquet
+- **Rows**: 150,000
+- **Columns**: 15
+- **Date Generated**: 2025-10-05
+- **Location**: `data/social_media_sentiment_datasets/`
+
+## Schema
+
+| Column | Type | Sample Values |
+|--------|------|---------------|
+| `post_id` | String | SM00000001 |
+| `timestamp` | Datetime | 2025-09-06 09:38:00 |
+| `platform` | String | LinkedIn |
+| `operator_mentioned` | String | Airtel |
+| `post_text` | String | Customer care resolved my issue quickly. Thank ... |
+| `sentiment` | String | positive |
+| `sentiment_score` | Float | 0.56 |
+| `likes_count` | Integer | 133 |
+| `retweets_shares` | Integer | 129 |
+| `comments_count` | Integer | 191 |
+| `reach` | Integer | 12047 |
+| `city_mentioned` | String | Ibadan |
+| `issue_category` | String | general |
+| `response_from_operator` | Boolean | False |
+| `response_time_hours` | Float | 46.0 |
+
+## Sample Data
+
+```
+   post_id           timestamp platform operator_mentioned                                                  post_text sentiment  sentiment_score  likes_count  retweets_shares  comments_count  reach city_mentioned  issue_category  response_from_operator  response_time_hours
+SM00000001 2025-09-06 09:38:00 LinkedIn             Airtel Customer care resolved my issue quickly. Thank you @Airtel  positive             0.56          133              129             191  12047         Ibadan            None                   False                  NaN
+SM00000002 2025-09-28 07:42:00 LinkedIn             Airtel            4G? More like 0G. Can't browse anything @Airtel  negative            -0.62          485               26              98  25431        Onitsha         general                   False                 46.0
+SM00000003 2025-10-01 20:04:00 LinkedIn                MTN          No network for 3 days now. What's happening @MTN?  negative            -0.31          512              131             187   4760         Ibadan network_quality                   False                  NaN
+```
+
+## Nigerian Context
+
+This dataset incorporates authentic Nigerian telecommunications characteristics:
+
+- **Geographic Coverage**: Major Nigerian cities including Lagos, Abuja, Kano, Port Harcourt, Ibadan
+- **Operators**: MTN, Airtel, Glo, 9mobile with realistic market shares
+- **Phone Numbers**: Nigerian format (+234 prefixes)
+- **Currency**: Nigerian Naira (NGN)
+- **Time Zone**: West Africa Time (WAT, UTC+1)
+- **Network Types**: 2G, 3G, 4G, 5G distribution
+
+## File Formats
+
+### CSV
+```
+data/social_media_sentiment_datasets/social_media_sentiment_datasets.csv
+```
+
+### Parquet (Recommended)
+```
+data/social_media_sentiment_datasets/social_media_sentiment_datasets.parquet
+```
+
+## Loading the Dataset
+
+### Python (Pandas)
+```python
+import pandas as pd
+
+# Load CSV
+df = pd.read_csv('data/social_media_sentiment_datasets/social_media_sentiment_datasets.csv')
+
+# Load Parquet (recommended for large datasets)
+df = pd.read_parquet('data/social_media_sentiment_datasets/social_media_sentiment_datasets.parquet')
+```
+
+### Python (PyArrow)
+```python
+import pyarrow.parquet as pq
+
+# Load Parquet
+table = pq.read_table('data/social_media_sentiment_datasets/social_media_sentiment_datasets.parquet')
+df = table.to_pandas()
+```
+
+## License
+
+MIT License - For educational and research purposes
+
+## Citation
+
+```
+Nigerian Telecom Datasets - Social Media Sentiment Datasets
+Generated: 2025-10-05
+Category: Customer Experience and Sentiment
+Rows: 150,000
+```
+
+## Related Datasets
+
+This dataset is part of the Nigerian Telecom Datasets collection, which includes 34 datasets covering network performance, customer behavior, financial transactions, infrastructure, geospatial data, customer experience, and emerging technologies.

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