Abstract:
The proliferation of online soccer contents generated by fans and teams has been widely leveraged in the area of sentiment analysis research. This work proposes domain-sp...Show MoreMetadata
Abstract:
The proliferation of online soccer contents generated by fans and teams has been widely leveraged in the area of sentiment analysis research. This work proposes domain-specific approach for understanding sentiment expressed in soccer conversations. We introduce a soccer-specific lexicon that we leverage in building sentiment model trained on soccer dataset. Our results show the effectiveness of the proposed approach in recognizing fans emotion during soccer events.
Date of Conference: 10-12 April 2018
Date Added to IEEE Xplore: 28 June 2018
ISBN Information: