Papers by Venkata Himakar Yanamandra
SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text (D19-55)
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| Challenge: | Contemporary datasets on tobacco consumption focus on one of two topics, public health mentions and disease surveillance, or sentiment analysis on topical tobacco products and services. |
| Approach: | They propose to use a dataset of 3144 tweets to analyze slang related to smoking and then use it to create a binary and multi-class classification mechanism. |
| Outcome: | The proposed method is able to identify a topic, a general mention or a more fine-grained classification based on the semantics of the tweets. |