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Full-Text Articles in Social and Behavioral Sciences
Extracting And Normalizing Entity-Actions From Users' Comments, Swapna Gottipati, Jing Jiang
Extracting And Normalizing Entity-Actions From Users' Comments, Swapna Gottipati, Jing Jiang
Research Collection School Of Computing and Information Systems
With the growing popularity of opinion-rich resources on the Web, new opportunities and challenges arise and aid people in actively using such information to understand the opinions of others. Opinion mining process currently focuses on extracting the sentiments of the users on products, social, political and economical issues. In many instances, users not only express their sentiments but also contribute their ideas, requests and suggestions through comments. Such comments are useful for domain experts and are referred to as actionable content. Extracting actionable knowledge from online social media has attracted a growing interest from both academia and the industry. We …
Finding Thoughtful Comments From Social Media, Gottipati Swapna, Jing Jiang
Finding Thoughtful Comments From Social Media, Gottipati Swapna, Jing Jiang
Research Collection School Of Computing and Information Systems
Online user comments contain valuable user opinions. Comments vary greatly in quality and detecting high quality comments is a subtask of opinion mining and summarization research. Finding attentive comments that provide some reasoning is highly valuable in understanding the user’s opinion particularly in sociopolitical opinion mining and aids policy makers, social organizations or government sectors in decision making. In this paper we study the problem of detecting thoughtful comments. We empirically study various textual features, discourse relations and relevance features to predict thoughtful comments. We use logistic regression model and test on the datasets related to sociopolitical content. We found …