Exploiting Social Network Structure for Person-to-Person Sentiment Analysis (1409.2450v1)

Abstract: Person-to-person evaluations are prevalent in all kinds of discourse and important for establishing reputations, building social bonds, and shaping public opinion. Such evaluations can be analyzed separately using signed social networks and textual sentiment analysis, but this misses the rich interactions between language and social context. To capture such interactions, we develop a model that predicts individual A's opinion of individual B by synthesizing information from the signed social network in which A and B are embedded with sentiment analysis of the evaluative texts relating A to B. We prove that this problem is NP-hard but can be relaxed to an efficiently solvable hinge-loss Markov random field, and we show that this implementation outperforms text-only and network-only versions in two very different datasets involving community-level decision-making: the Wikipedia Requests for Adminship corpus and the Convote U.S. Congressional speech corpus.

Overview of ACL2012 Proceedings Formatting Instructions

This paper, "Instructions for ACL2012 Proceedings," serves as a meticulously detailed guide for authors preparing camera-ready manuscripts for the Association for Computational Linguistics (ACL) 2012 conference proceedings. The document itself adheres to the specified format, providing a practical exemplar for authors' reference. The guidelines are applicable to both preliminary submissions for review and the final versions of accepted manuscripts.

Structure and Content

The paper provides comprehensive instructions on several key formatting aspects, which include:

• General Document Formatting: Authors are instructed to write manuscripts in a two-column format, excluding specified sections like the title and abstract, which must be centered at the top of the first page. A strict adherence to specified margins, font styles (notably Times Roman), and page layout (US-Letter format) is mandatory to ensure uniformity across all submissions.
• Electronic Submission Specifications: Detailed instructions guide authors in producing an electronic version of their manuscript in PDF format. The paper emphasizes ensuring that all fonts, especially for specialized characters or diagrams, are embedded within the PDF to ensure accurate reproduction across platforms and devices.
• Citations and References: The document dictates the use of APA-style citations and an organized presentation of references, highlighting the use of the provided LaTeX and BibTeX style files to maintain consistency. This standardization is crucial for cross-referencing and for maintaining the intellectual integrity of the conference proceedings.
• Graphics and Illustrations: Authors are advised to integrate figures and tables close to where they are discussed in the text. The guidelines insist on careful placement and captioning of graphics, encouraging black-and-white formats to avoid any degradation in print quality.

Numerical and Formatting Rigor

The precise numerical dimensions for page setup—such as margin sizes (1 inch) and column dimensions—are provided to ensure visual uniformity. Additionally, restrictions on paper length—eight pages for long papers, and four for short papers (excluding references)—aid in maintaining consistency in the breadth and depth of content presented at the conference.

Implications and Future Directions

The structured approach outlined in this paper not only facilitates the creation of cohesive conference proceedings but also underscores the importance of standardized formatting in academic publishing. While the paper does not explicitly discuss broader implications or future developments in AI, the meticulous attention to formatting detail reflects the ongoing need for precision and clarity in the communication of research findings—an area that is increasingly critical as the field of artificial intelligence continues to grow.

Future iterations of such formatting instructions could potentially explore the integration of automated formatting tools that leverage AI to assist authors in adhering to these guidelines with greater ease and accuracy. Such developments could further streamline the submission process, reduce formatting errors, and allow researchers to focus more on the content of their submissions.

In summary, this document is an essential resource for authors contributing to ACL2012, ensuring their work is presented in a manner that meets the established professional standards of the computational linguistics community.