Name
Abstract | ||
|---|---|---|
In this study, we analyze social conversations about Hong Kong Protests, a series of events that were widely seen and debated in social media in 2019. Our system collects data from Twitter and Reddit using their APIs. It performs sentiment analysis, and the analysis results show changes in public sentiment around major events. Social nehvork analysis reveals influencers users that are in the center of social conversations. Our interactive Tableau dashboard allows the user to easily monitor live social conversations about Hong Kong protests. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BigData47090.2019.9006462 | 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) |
Keywords | Field | DocType |
hong kong protests, sentiment analysis, social media, analytics, social influencers | Internet privacy,Social media,Computer science,Sentiment analysis,Social network analysis,Artificial intelligence,Dashboard (business),Analytics,Politics,Machine learning,Influencer marketing | Conference |
ISSN | Citations | PageRank |
2639-1589 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haodi Qi | 1 | 0 | 0.34 |
| Hanyu Jiang | 2 | 0 | 0.34 |
| Wende Bu | 3 | 0 | 0.34 |
| Chengzi Zhang | 4 | 0 | 0.34 |
| Kyong Jin Shim | 5 | 67 | 13.91 |