Article: Information and argument patterns in the Introduction sections of sociology research papers
Cheng, W.-N., & Khoo, C.S.G. Khoo. (2022). Information and argument patterns in the Introduction sections of sociology research papers. Iberica, 44 (December), 127-154. https://doi.org/10.17398/2340-2784.44.127 Abstract. This study analyzed the information-argument structure of the Introduction sections of sociology research papers, to identify differences across three types of sociology research: Investigative research, Development and Evaluation research, and Descriptive research. The information-argument analysis framework bears some resemblance to rhetorical structure frameworks following Swales’ CARS model, but focuses on the argumentative aspect of text and how information is used to support argument claims. The coding scheme specifies information types, subdivided into those that imply an argument claim and those that play the role of argument support. Seventy papers were sampled from ten sociology journals for analysis. Sequential association rule mining was used to identify sequential information-argument patterns. The study identified significant differences in information-argument profile across the three types of research papers, as...
Information-Argument-Rhetorical Structure Framework for discourse analysis of research papers
XML tagging resources for discourse analysis of research papers using the Information-Argument-Rhetorical Structure framework is available for download from DR-NTU (Data) (the data repository of the Nanyang Technological University) . The Information-Argument-Rhetorical Structure framework specifies 3 layers of discourse analysis: Information structure analysis: a tag indicates a semantic role in one of the semantic frames (e.g. Research-relation frame, Comparison frame, etc.). Argument structure analysis: a tag indicates a type of argument claim, or type of argument support/premise. Rhetorical structure analysis: a tag indicates a rhetorical function, modeled after Swale’s (1990) Creating a Research Space (CARS) model The framework was derived from an analysis of the Abstract, Introduction and Literature Review sections of 30 sociology, mechanical engineering and bioscience research papers (10 each). The framework was applied to an additional 100 sociology research papers, and refined. Further work on mechanical engineering and bioscience papers are planned. A major step in...
WKWSCI Sentiment Lexicon v1.1 available for download
A general-purpose English sentiment lexicon called WKWSCI Sentiment Lexicon v1.1 (named after the authors’ school Wee Kim Wee School of Communication & Information) is available for download. The lexicon is based on the 12dicts common American English word lists compiled by Alan Beale from twelve source dictionaries. The lexicon contains 29,729 words tagged with 4 parts-of-speech: adjective, adverb, noun, and verb. The lexicon comprises 3,187 positive words, 7,247 negative words and 19,295 neutral words. WKWSCI Sentiment Lexicon v1.0 was described and compared with five existing lexicons in the paper “Lexicon-Based Sentiment Analysis: Comparative Evaluation of Six Sentiment Lexicons“. Version 1.1 includes some improvements resulting from the reported study....
Article: Sentiment analysis of online news text: A case study of appraisal theory
Khoo, C.S.G., Nourbakhsh, A., & Na, J.C. (2012). Sentiment analysis of online news text: A case study of appraisal theory. Online Information Review, 36(6), 858-878. Abstract Purpose. Sentiment analysis and emotion processing are attracting increasing interest in many fields. Computer and information scientists are developing automated methods for sentiment analysis of online text. Most of the research have focused on identifying sentiment polarity or orientation—whether a document, usually product or movie review, carries a positive or negative sentiment. It is time for researchers to address more sophisticated kinds of sentiment analysis. This paper evaluates a particular linguistic framework called appraisal theory for adoption in manual as well as automatic sentiment analysis of news text. Method. The appraisal theory is applied to the analysis of a sample of political news articles reporting on Iraq and economic policies of George W. Bush and Mahmoud Ahmadinejad to assess its utility and to...
Article: Design and development of a concept-based multi-document summarization system for research abstracts
Ou, S., Khoo, C.S.G., & Goh, D. (2008). Design and development of a concept-based multi-document summarization system for research abstracts. Journal of Information Science, 34(3), 308-326. Summary: This paper describes a concept-based multi-document summarization system that was developed to summarize sets of dissertation abstracts in sociology that might be retrieved by an information retrieval system or Web search engine in response to a user query. The summarization method developed in this study is a hybrid method comprising four major steps: Macro-level discourse parsing: An automatic discourse parsing method was developed to segment a dissertation abstract into several macro-level sections and identify which sections contain important research information; Information extraction: An information extraction method was developed to extract research concepts and relationships as well as other kinds of information from the micro-level structure (within sentences); Information integration: An information integration method was developed to integrate similar concepts and relationships...
Article: Automatic multi-document summarization of research abstracts: Design and user evaluation
Ou, S., Khoo, C.S.G., & Goh, D. (2007). Automatic multi-document summarization of research abstracts: Design and user evaluation. Journal of the American Society for Information Science & Technology, 58(10), 1419-1435. Summary: This study developed a method for multi-document summarization of sociology dissertation abstracts. We did not use traditional sentence extraction approaches. Instead, a hybrid summarization method involving both extractive and abstractive techniques was used. This method focused on extracting and integrating similarities and differences across different documents to summarize a set of related documents. The identification of similarities and differences was based more on identifying research concepts and relationships expressed in the text, rather than words, phrases or sentences and rhetorical relations used in previous studies. To do that, the macro-level discourse structure (between sentences and segments) peculiar to sociology dissertation abstracts was analyzed to identify which segments of the text contain more important research information. Then the micro-level...