---
license: gpl
task_categories:
- text-classification
language:
- en
tags:
- telecom
- social
- media
- sentiment
size_categories:
- 100K<n<1M
---
# 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.