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Semantize: visualizing the sentiment of individual document

Authors:

Tsvi KuflikAuthors Info & Claims

AVI '14: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces

Pages 385 - 386

https://doi.org/10.1145/2598153.2600056

Published: 27 May 2014 Publication History

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Abstract

A plethora of tools exist for extracting and visualizing key sentiment information from a corpus of text documents. Often, however, there is a need for quickly assessing the sentiment and feelings that arise from an individual document. We describe an interactive tool that visualizes the sentiment of a specific document such as an online opinion, blog, or transcript, by visually highlighting the sentiment features while leaving the document text intact.

References

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Pang, B., & Lee L. Opinion mining and sentiment analysis. Foundations and trends in information retrieval 2.1-2 (2008) 1--135.

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Cited By

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Gu ZArawjo ILi KKummerfeld JGlassman E(2024)An AI-Resilient Text Rendering Technique for Reading and Skimming DocumentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642699(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642699
Fok RKambhamettu HSoldaini LBragg JLo KHearst MHead AWeld D(2023)Scim: Intelligent Skimming Support for Scientific PapersProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584034(476-490)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584034
Masson DMalacria SCasiez GVogel D(2023)Charagraph: Interactive Generation of Charts for Realtime Annotation of Data-Rich ParagraphsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581091(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581091
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Index Terms

Semantize: visualizing the sentiment of individual document
1. Human-centered computing

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Published In

AVI '14: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces

May 2014

438 pages

ISBN:9781450327756

DOI:10.1145/2598153

General Chair:
Paolo Paolini
Politecnico di Milano (Italy)
,
Program Chair:
Franca Garzotto
Politecnico di Milano (Italy)

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2014

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AVI' 14

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Centro Cultura Volta
Politecnico di Milano

AVI' 14: International Working Conference on Advanced Visual Interfaces

May 27 - 29, 2014

Como, Italy

Acceptance Rates

AVI '14 Paper Acceptance Rate 32 of 112 submissions, 29%;

Overall Acceptance Rate 128 of 490 submissions, 26%

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Gu ZArawjo ILi KKummerfeld JGlassman E(2024)An AI-Resilient Text Rendering Technique for Reading and Skimming DocumentsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642699(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642699
Fok RKambhamettu HSoldaini LBragg JLo KHearst MHead AWeld D(2023)Scim: Intelligent Skimming Support for Scientific PapersProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584034(476-490)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584034
Masson DMalacria SCasiez GVogel D(2023)Charagraph: Interactive Generation of Charts for Realtime Annotation of Data-Rich ParagraphsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581091(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581091
Claus SStella M(2022)Natural Language Processing and Cognitive Networks Identify UK Insurers’ Trends in Investor Day TranscriptsFuture Internet10.3390/fi1410029114:10(291)Online publication date: 12-Oct-2022
https://doi.org/10.3390/fi14100291
Kulahcioglu TMelo G(2020)Affect-Aware Word CloudsACM Transactions on Interactive Intelligent Systems10.1145/337092810:4(1-25)Online publication date: 8-Nov-2020
https://dl.acm.org/doi/10.1145/3370928
Kulahcioglu Tde Melo GFu WPan SBrdiczka OChau PCalvary G(2019)Paralinguistic recommendations for affective word cloudsProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302327(132-143)Online publication date: 17-Mar-2019
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Yang Qde Melo GCheng YWang SBarrett RCummings RAgichtein EGabrilovich E(2017)HiTextProceedings of the 26th International Conference on World Wide Web Companion10.1145/3041021.3054168(311-319)Online publication date: 3-Apr-2017
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Kucher KParadis CKerren A(2017)The State of the Art in Sentiment VisualizationComputer Graphics Forum10.1111/cgf.1321737:1(71-96)Online publication date: 12-Jun-2017
https://doi.org/10.1111/cgf.13217

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Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts

Visualizing sentiment: do you see what i mean?

Design and development of visualization tool for movie review and sentiment analysis

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