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Dissertations / Theses on the topic 'Movie Classification'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Zhang, Jun. "Sentiment analysis of movie reviews in Chinese." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412670.

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Sentiment analysis aims at figuring out the opinions of the users towards a certain service or product. In this research, the aim is at classifying the sentiments of users based on the comments they have posed on Douban movie website. In this thesis, I try two different ways to classify the sentiments: with the first one classifying comments into five classes of ratings from 1 to 5, and with the second one classifying comments into three classes of ratings: negative, neutral and positive. For the latter, the ratings of 1 and 2 are grouped as negative, the ratings of 3 neutral and the ratings o

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2

Sarika, Pawan Kumar. "Comparing LSTM and GRU for Multiclass Sentiment Analysis of Movie Reviews." Thesis, Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20213.

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Today, we are living in a data-driven world. Due to a surge in data generation, there is a need for efficient and accurate techniques to analyze data. One such kind of data which is needed to be analyzed are text reviews given for movies. Rather than classifying the reviews as positive or negative, we will classify the sentiment of the reviews on the scale of one to ten. In doing so, we will compare two recurrent neural network algorithms Long short term memory(LSTM) and Gated recurrent unit(GRU). The main objective of this study is to compare the accuracies of LSTM and GRU models. For trainin

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Sommar, Fredrik, and Milosz Wielondek. "Combining Lexicon- and Learning-based Approaches for Improved Performance and Convenience in Sentiment Classification." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166430.

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Sentiment classification is the process of categorizing data into categories based on its polarity with a wide array of applications across several industries. This report examines a combination of two prominent approaches to sentiment classification using a lexicon of weighted words and machine learning respectively. These approaches are compared with the combined hybrid approach in order to give an account of their relative strengths and weaknesses. When run on a set of IMDb movie reviews the results indicate that the hybrid model performs better than the lexicon-based approach, in turn bein

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4

Usbeck, Frank. ""Don’t Forget about Us, Because We Can’t Forget You": A Narrative Approach to the Concept of ‘Community’ in American Soldier Blogs." Leipziger Universitätsverlag, 2012. https://tud.qucosa.de/id/qucosa%3A29205.

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The following contribution interweaves culturalanthropological and media studies approaches to analyze the concept of 'community' in a phenomenon of the new media, the socalled 'milblogs.' These communities use the blogosphere to create and distribute a master arrative about the relationship of American civil society with its military and, thus, about how segments of American society attempt to come to terms with the War on Terror. The contribution emphasizes the interaction of bloggers with their audience in the narrative process of imagining, proclaiming, and nurturing such communities.

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Herrmann, Sebastian M., Katja Kanzler, and Frank Usbeck. "Participating Audiences, Imagined Public Spheres: The Cultural Work of Contemporary American(ized) Narratives - Introduction." Leipziger Universitätsverlag, 2012. https://tud.qucosa.de/id/qucosa%3A29206.

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This is a book about contemporary American(ized) narratives and the audiences they call into being. It brings together eight very diverse case studies covering and investigating a wide range of media, genres, and modes to ask how contemporary 'texts' encourage 'imagined communities' of readers/viewers that operate as 'public spheres' of social and political deliberation, self-fashioning, and debate. In asking this question, the contributions collected in this volume shift perspectives in a number of ways: They question the boundary between the audiences of (often popular and broadly circulat

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Usbeck, Frank. "The Power of the Story: "Popular Narratology" in Pentagon Reports on Social Media Use in the Military." Universitätsverlag Winter, 2015. https://tud.qucosa.de/id/qucosa%3A29673.

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This contribution explores notions of "popular narratology" in reports, memos and strategic research papers of the US military and affiliated institutions. It investigates the military´s analysis of emerging social media practices and corresponding efforts to adapt military organization, strategy, and culture to these new technological and cultural phenomena. Employing notions and techniques of constructing and disseminating a narrative that they borrow from literary theory, media studies, and advertising, these texts negotiate best practices to set political agendas and instigate institution

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7

Evans, Richard Kent. "MOVE: RELIGION, SECULARISM, AND THE POLITICS OF CLASSIFICATION." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/505910.

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History<br>Ph.D.<br>This dissertation is a study of how religion is manufactured, policed, imagined, and defended in the modern United States. It traces the history of one group, MOVE, from its inception in the late 1960s to the present in order to illustrate how the category of religion functions in the modern United States. The central premise of the book is that MOVE people believed MOVE was a religion. They believed, nearly from the very beginning of the group, that John Africa was a prophet who communicated on behalf of the divine, that his Teachings were inspired and had supernatural eff

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8

Saxton, Michael J. "Move, dither, move, dither: on the structure of random walks and single-particle trajectories." Diffusion fundamentals 16 (2011) 30, S. 1-2, 2011. https://ul.qucosa.de/id/qucosa%3A13763.

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9

Kato, Jien, Toyohide Watanabe, Sebastien Joga, et al. "An HMM-based segmentation method for traffic monitoring movies." IEEE, 2002. http://hdl.handle.net/2237/6744.

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10

Goernert, Christiane. "Pietro Germis kritischer Blick auf das tradierte Konzept von Männlichkeit und Weiblichkeit in \"Divorzio all\'italiana\" und \"Sedotta e abbandonata\" unter dem Aspekt des sizilianischen Ehrenkodex." Master's thesis, Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-124504.

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In dieser Arbeit soll es um die Ehre gehen, insbesondere um die kritische Auseinandersetzung mit den komplexen Regeln des Ehrenkodex in zwei Filmen des italienischen Regisseurs Pietro Germi, Divorzio all\'italiana (F/I 1961, Scheidung auf italienisch) und Sedotta e abbandonata ( F/I 1963, Verführung auf italienisch, DDR-Titel: \"Verführung auf sizilianisch\"). Die beiden Filme gehören zusammen mit Signore & Signori (F/I 1965, Aber, aber meine Herren...) zu einer Trilogie, mit der Germi die Verlogenheit und die Mängel der italienischen Gesellschaft angreift und karikiert. Alle drei Filme wurden

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11

Steinebach, Mario, Hubert J. Gieß, Christine Häckel-Riffler, Daniela Lopez, and Peggy Schellenberger. "TU-Spektrum 1/2001, Magazin der Technischen Universität Chemnitz." Universitätsbibliothek Chemnitz, 2002. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200201376.

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12

Büscher, Barbara. "Bewegung als Zugang: Performance - Geschichte(n) - Ausstellen." map - media archive performance ; 2013/4 (E-Journal, URL: http://www.perfomap.de), 2013. https://slub.qucosa.de/id/qucosa%3A4366.

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In den vergangenen Jahren widmete sich eine stetig steigende Anzahl von Ausstellungen und Reenactments der Vergegenwärtigung und Re-Vision der Geschichte von Performance-Kunst und integrierte Aufführungen in diesen Kontext. Sie sind beweglicher Umgang mit den Performance-Archiven. Sie aktualisieren die Frage nach dem Charakter der Artefakte, auf die sich alte und neue Erzählungen zu und über Geschichte(n) der Performance beziehen und thematisieren ihre Lesbarkeit in je neuen Zusammenhängen. Wie in der Bewegungsspur, die den Zuschauern angeboten wird, Zugänge eröffnet werden, wird anhand von Au

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13

Hong, Hao-Zhi, and 洪皓誌. "Multimodal PLSA for Movie Genre Classification." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/ujx4zq.

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碩士<br>輔仁大學<br>資訊工程學系碩士班<br>102<br>The aim of this thesis is to category the movies into genres using the previews. This study attempts to combine audio, visual and text features to classify a collection of movie previews into action, biography, comedy, and horror. For each of the collected previews, the audio and visual features are extracted and the text features are drawn from social tags via social websites. The probabilistic latent semantic analysis (PLSA) is used to incorporate the features from these three different aspects of information.The standard PLSA processes one type of informati

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14

JEN, PO-CHUNG, and 任博仲. "Movie Trailer Classification with Deep Neural Network." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/tp4x7g.

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碩士<br>中華大學<br>資訊工程學系<br>107<br>Learning movie contents for movie genre classification is a challenge study, traditional machine learning methods still now achieve unsatisfactory results. On the other hand, in the past few years, the rise of deep learning, one area of machine learning, significantly improved the accuracy of image recognition. Nevertheless, rather than image recognition, analyzing the contents by using a single image, movie genre classification usually requires the analysis of the contents of a series of image frames or a part of sound. Therefore, a deep learning based movie gen

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15

Hasan, MA. "Cinematographic shot classification frameworks for movie indexing and retrieval." Thesis, 2014. http://hdl.handle.net/10453/34373.

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University of Technology Sydney. Faculty of Engineering and Information Technology.<br>Cinematographic shot classification is an important and challenging task due to its creation mechanisms. A variety of shot types are used in movies in order to attract audience attention and enhance their viewing experiences. In order to index the cinematographic shots in video databases, shot classification is considered as a primary task. In order to classify cinematographic shots, we propose three frameworks in this thesis. Firstly, we propose a context saliency based framework. In the proposed framework,

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Sung, Che-wei, and 宋哲偉. "Affective Classification of Movie Scenes Based on Artificial Neural Network." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/73012353971062117954.

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碩士<br>國立中央大學<br>資訊工程研究所<br>97<br>With the development of technology, digital video collections are growing rapidly in recent years. More and more movies are released around the world and play an important role in our life. How to analyze the huge content to help viewers search a specific type of video effectively becomes one of major issues. In general, earlier video content-based analysis includes object-based classification, genre-based classification and event-based classification. With the growing of affective computing, emotion-based classification is also emphasized because the audiovisu

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Wang, Shih-hao, and 王士豪. "Movie Genre Classification Using SVM with Audio and Video Features." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/08553518999297821116.

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碩士<br>國立雲林科技大學<br>資訊工程研究所<br>100<br>In this paper, we propose a movie genre classification system using a meta-heuristic optimization algorithm called Self-Adaptive Harmony Search (i.e., SAHS) to select local features for corresponding movie genres. Then, each one-against-one Support Vector Machine (i.e., SVM) classifier is fed with the corresponding local feature set and the majority voting method is used to determine the prediction of each movie. Totally, we extract 277 features from each movie trailer, including visual and audio features. However, no more than 25 features are used to discri

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18

Sin-You, Wu, and 鄔欣佑. "Constraction the us Movie Classification Model by the Boxoffice and WOM." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/42361341425534893779.

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碩士<br>淡江大學<br>管理科學學系碩士班<br>104<br>Because technology rapidly improves , the film industry is flourishing in these years , which creates new record of box office year by year .Then it can be divided into several categories of result in market ,which are「high WOM High box office」,「high WOM low box office」,「low WOM High box office」and「low WOM low box office」.There was no standard to distinguish these four kinds of result before .Consequently , the features of movies are utilized to variable reference of box office . This study used LDA , MARS and CART to select their inflential,and their relative

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19

Chen, Tsong-ming, and 陳聰敏. "Movie Opinion Classification: An empirical comparison between using TF and using TF-IDF base on SentiWordNet." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/14506487016496821137.

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碩士<br>樹德科技大學<br>資訊管理系碩士班<br>103<br>Text mining often uses the TF-IDF (term frequence-inverse document frequency) technique to preprocess documents because of a common knowledge that “if a word has a high frequency in a document and does’nt appear in too many other documents, then the word has a good discriminatory power for text classification”. Therefore, common words can be filtered out in the process of text mining jobs. Blog articles come with text of a substantial length. When a word rarely appears in other articles, this word does have a good capability to distinguish text of different c

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20

Dias, Luís Jorge Gregório. "Detecting violent excerpts in movies using audio." Master's thesis, 2016. http://hdl.handle.net/10071/12995.

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This thesis addresses the problem of automatically detecting violence in movie excerpts, based on audio and video features. A solution to this problem is relevant for a number of applications, including preventing children from being exposed to violence in the existing media, which may avoid the development of violent behavior. We analyzed and extracted audio and video features directly from the movie excerpt and used them to classify the movie excerpt as violent or non-violent. In order to find the best feature set and to achieve the best performance, our experiments use two different mac

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21

Chang, Chuang-ping, and 張莊平. "Opinion Classification in Chinese Move Reviews Using Parsing-based Method." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/09605475978273261737.

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碩士<br>國立臺灣師範大學<br>資訊工程研究所<br>100<br>In the modern society with highly developing internet, it is easy to reach reviews of various domains. People are used to collect the reviews as references before their consumption. Especially in movie products, we can only preview some brief and fragmented contents by trailers and cannot refund after we watched it, so people think more highly of the movie reviews on the internet. In this study, we collected movie reviews from websites and analyzed them with nature language processing approaches, which resulted in a general recommendation grade and several f

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22

Salehi, Sara. "Automated Biomedical Text Fragmentation In Support Of Biomedical Sentence Fragment Classification." Thesis, 2009. http://hdl.handle.net/1974/5251.

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The past decade has seen a tremendous growth in the amount of biomedical literature, specifically in the area of bioinformatics. As a result, biomedical text categorization has become a central task for providing researchers with literature appropriate for their specific information needs. Pan et al. have explored a method that automatically identifies information-bearing sentence fragments within scientific text. Their proposed method aims to automatically classify sentence fragments into certain sets of categories defined to satisfy specific types of information needs. The categories are g

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23

Hartwig, Ines. "Optimal Move Class For Simulated Annealing With Underlying Optimal Schedule." Bachelor's thesis, 2005. https://monarch.qucosa.de/id/qucosa%3A19095.

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Die vorliegende Arbeit befasst sich mit dem Versuch der Optimierung von Simulated Annealing. Genauer gesagt, werden Simulationsergebnisse für einfache Spinglassysteme in Abhängigkeit von verschiedenen Nachbarschaftsmodellen berechnet – jeweils unter Verwendung des optimalen Abkühlverlaufs. Ziel ist es, eine Faustregel für die dynamische Anpassung der Nachbarschaftsbeziehung während einer Annealing-Simulation zu ﬁnden.<br>The thesis at hand presents an attempt to optimize simulated annealing. In particular, annealing results are computed based on diﬀerent move class deﬁnitions for Ising spin sy

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