Name
Title | ||
|---|---|---|
Aspect-Based Extraction and Analysis of Affective Knowledge from Social Media Streams. |
Abstract | ||
|---|---|---|
Extracting and analyzing affective knowledge from social media in a structured manner is a challenging task. Decision makers require insights into the public perception of a company's products and services, as a strategic feedback channel to guide communication campaigns, and as an early warning system to quickly react in the case of unforeseen events. The approach presented in this article goes b... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MIS.2017.57 | IEEE Intelligent Systems |
Keywords | Field | DocType |
Companies,Sentiment analysis,Automobiles,Social network services,Media,Knowledge acquisition,Data mining | Data science,Data mining,Social media,Domain knowledge,Sentiment analysis,Computer science,Correctness,Linked data,Knowledge management,Early warning system,Perception,Knowledge acquisition | Journal |
Volume | Issue | ISSN |
32 | 3 | 1541-1672 |
Citations | PageRank | References |
9 | 0.52 | 20 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Weichselbraun | 1 | 291 | 28.39 |
| Stefan Gindl | 2 | 152 | 9.93 |
| Fabian Fischer | 3 | 28 | 3.39 |
| Svitlana Vakulenko | 4 | 39 | 7.94 |
| Arno Scharl | 5 | 696 | 67.13 |