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Exploring Emotions in Online Movie Reviews for Online Browsing

Authors:

Nadeem Bader,

Osnat Mokryn,

Joel LanirAuthors Info & Claims

IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces

Pages 35 - 38

https://doi.org/10.1145/3030024.3040982

Published: 07 March 2017 Publication History

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Abstract

A restaurant review is a reflection of the reviewer?s experience and attitude towards the restaurant. The same applies to a review of a new phone or a review on any other online merchandize. Films, however, are created with the intended purpose to evoke an emotional response in the viewer. This emotional response does not necessarily correspond with the viewer's attitude towards the film. Thus, the question we try to address is, would the emotions expressed in a film?s online reviews also reflect the emotions elicited during the film? In this work, we take a first step in the investigation of this question, by studying the role of emotions in movie reviews as expressed in a large dataset of millions of online reviews for over 9000 movies, that appeared in IMDb from 1972 to 2015. Our results show that we can extract emotions elicited by the film from its reviews, and create an emotional signature of a film, and of a genre. This is a first step towards an Emotion-based Film Browser UI system that will enable users to browse films according to the emotions they evoke.

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Cited By

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Semeraro AVilella SImprota RDe Duro EMohammad SRuffo GStella M(2025)EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network scienceBehavior Research Methods10.3758/s13428-024-02553-757:2Online publication date: 27-Jan-2025
https://doi.org/10.3758/s13428-024-02553-7
Nosshi AAsem ASenousy M(2022)Hybrid Recommender System Using Emotional Fingerprints ModelResearch Anthology on Implementing Sentiment Analysis Across Multiple Disciplines10.4018/978-1-6684-6303-1.ch056(1076-1100)Online publication date: 10-Jun-2022
https://doi.org/10.4018/978-1-6684-6303-1.ch056
Piçarra NReis EChambel TArriaga P(2022)Searching, Navigating, and Recommending Movies through Emotions: A Scoping ReviewHuman Behavior and Emerging Technologies10.1155/2022/78310132022(1-24)Online publication date: 2-Dec-2022
https://doi.org/10.1155/2022/7831013
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Index Terms

Exploring Emotions in Online Movie Reviews for Online Browsing
1. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Expert systems

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Information

Published In

IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces

March 2017

246 pages

ISBN:9781450348935

DOI:10.1145/3030024

General Chairs:
George A. Papadopoulos
The University of Cyprus, Cyprus
,
Tsvi Kuflik
The University of Haifa, Israel
,
Program Chairs:
Fang Chen
Data61, CSIRO Australia
,
Carlos Duarte
The University of Lisbon, Portugal
,
Wai-Tat Fu
The University of Illinois at Urbana-Champaign, USA

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: 07 March 2017

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IUI'17

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IUI'17: 22nd International Conference on Intelligent User Interfaces

March 13 - 16, 2017

Limassol, Cyprus

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IUI '17 Companion Paper Acceptance Rate 63 of 272 submissions, 23%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

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IUI '25

Sponsor:
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30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

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Cited By

View all

Semeraro AVilella SImprota RDe Duro EMohammad SRuffo GStella M(2025)EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network scienceBehavior Research Methods10.3758/s13428-024-02553-757:2Online publication date: 27-Jan-2025
https://doi.org/10.3758/s13428-024-02553-7
Nosshi AAsem ASenousy M(2022)Hybrid Recommender System Using Emotional Fingerprints ModelResearch Anthology on Implementing Sentiment Analysis Across Multiple Disciplines10.4018/978-1-6684-6303-1.ch056(1076-1100)Online publication date: 10-Jun-2022
https://doi.org/10.4018/978-1-6684-6303-1.ch056
Piçarra NReis EChambel TArriaga P(2022)Searching, Navigating, and Recommending Movies through Emotions: A Scoping ReviewHuman Behavior and Emerging Technologies10.1155/2022/78310132022(1-24)Online publication date: 2-Dec-2022
https://doi.org/10.1155/2022/7831013
Caldeira FLourenço JTavares Silva NChambel T(2022)Towards Multimodal Search and Visualization of Movies Based on EmotionsProceedings of the 2022 ACM International Conference on Interactive Media Experiences10.1145/3505284.3532987(349-356)Online publication date: 21-Jun-2022
https://dl.acm.org/doi/10.1145/3505284.3532987
Cohen-Kalaf MLanir JBak PMokryn O(2022)Movie emotion map: an interactive tool for exploring movies according to their emotional signatureMultimedia Tools and Applications10.1007/s11042-021-10803-581:11(14663-14684)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s11042-021-10803-5
Semeraro AVilella SRuffo G(2021)PyPlutchik: Visualising and comparing emotion-annotated corporaPLOS ONE10.1371/journal.pone.025650316:9(e0256503)Online publication date: 1-Sep-2021
https://doi.org/10.1371/journal.pone.0256503
Kurihara KShoji YFujita SDürst M(2021)Doc2Vec-based Approach for Extracting Diverse Evaluation Expressions from Online Review DataThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487773(11-18)Online publication date: 29-Nov-2021
https://dl.acm.org/doi/10.1145/3487664.3487773
Sheidin JLanir JConati CToker DKuflik TPaternò FOliver NConati CSpano LTintarev N(2020)The effect of user characteristics in time series visualizationsProceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3377325.3377502(380-389)Online publication date: 17-Mar-2020
https://dl.acm.org/doi/10.1145/3377325.3377502
Mokryn OBodoff DBader NAlbo YLanir J(2020)Sharing emotions: determining films’ evoked emotional experience from their online reviewsInformation Retrieval10.1007/s10791-020-09373-123:5(475-501)Online publication date: 1-Oct-2020
https://dl.acm.org/doi/10.1007/s10791-020-09373-1
Nosshi AAsem ASenousy M(2019)Hybrid Recommender System Using Emotional Fingerprints ModelInternational Journal of Information Retrieval Research10.4018/IJIRR.20190701049:3(48-70)Online publication date: Jul-2019
https://doi.org/10.4018/IJIRR.2019070104
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Sharing emotions: determining films’ evoked emotional experience from their online reviews

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