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How subtitles are categorized?

Speaker diarisation

Automatic summarization

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Subtitles are categorized based on different criteria. One approach is to classify subtitles based on their types, which can be determined by linguistic and technical parameters. This classification aims to be simple, clear, and inclusive, allowing for a systematic study of subtitling. Another approach is to categorize subtitles based on the content of the videos they accompany. For example, in the context of documentaries, subtitles can be automatically categorized using natural language processing techniques and lexical databases. These methods analyze the subtitles and extract relevant information to determine the categories of the videos. Additionally, subtitles can also be used for video summarization, where significant sentences in the subtitles are identified and used to compose a summary of the video.

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Open access•Journal Article•DOI Automatic categorization and summarization of documentaries Kezban Demirtas, Nihan Kesim Cicekli, Ilyas Cicekli - Show less +2 more 01 Dec 2010-Journal of Information Science 5 Citations	The paper proposes two methods for categorizing subtitles of videos. The first method uses natural language processing techniques and the WordNet lexical database and domains. The second method uses a learning module for categorization.
Open access•Proceedings Article•DOI Automatic turn segmentation for Movie & TV subtitles Pierre Lison, Raveesh Meena - Show less +1 more 01 Dec 2016 20 Citations	The paper presents a data-driven approach to segment subtitles into dialogue turns using linguistic, visual, and timing features.
Open access•Journal Article•DOI On the Classification of Subtitling Dayan Liu 09 Mar 2014-Journal of Language Teaching and Research 13 Citations	The paper discusses the classification of subtitles based on linguistic and technical parameters, aiming for simplicity, clarity, and inclusiveness.
Proceedings Article•DOI A cross-lingual video classification using subtitles Anoual El kah, Imad Zeroual - Show less +1 more 03 Mar 2022	The paper proposes an automatic categorization of TEDx talks using subtitles. Subtitles are used as input for a supervised machine learning SVM-based classifier, which is trained on multilingual parallel subtitles in English, Arabic, and Brazilian Portuguese.

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