This paper explores utilization of information from social networks in making automatic movie recommendations. Implementations of three different algorithms (SVM, Clustering, and Ranking SVM) are implemented and evaluated. The general approach utilizes a large collection of Facebook profile information as training set in order to generate a list of movie recommendations for a particular user (c...

This paper addresses the problem of synchronizing movie subtitles, which is necessary to improve alignment quality when building a parallel corpus out of translated subtitles. In particular, synchronization is done on the basis of aligned anchor points. Previous studies have shown that cognate filters are useful for the identification of such points. However, this restricts the approach to rela...

the visual content of movies is essential for annotation. We present the interactive and adaptive i-Notation system, which describes actors’ names, automatically processes multimodal information sources, and deals with available sources’ varying quality. It provides the basis for intelligent interaction and demonstrates significant improvements in annotation efficiency. W ith the advance of dig...

In this paper we present MORE (acronym of MORE than MOvie REcommendation), a Facebook application that semantically recommends movies to the user leveraging the knowledge within Linked Data and the information elicited from her profile. MORE exploits the power of social knowledge bases (e.g. DBpedia) to detect semantic similarities among movies. These similarities are computed by a Semantic ver...

she loves me he loves me not helano she loves me not upsky she loves me trupin she loves me she loves me not aadver she loves me she loves me not nypt she loves me she loves me not jn-s she loves me not 2013 full movie subtitle french cs-f independent living 1x08 “she loves me not” story by aaron she loves me lxnews she loves me not full hd movie english wamc diva don she loves me she loves me ...

Fig. S1. Schematic drawings of the experimental setups. Fig. S2. Image processing performed to obtain LCM-DIM images presented in Fig. 1A. Caption of Movie S1. The coalescence of round liquid-like droplets (α-QLLs) on prism and high-index faces. Caption of Movie S2. The appearance of thin liquid-like layers (β-QLLs) beneath αQLLs. Caption of Movie S3. The coalescence of β-QLLs on prism and high...

The Movie structure extraction is essential to automatic and content-based organization, retrieval and browsing of movie. However, while many robust shot segmentation algorithms have been developed, it is still difficult to extract structures from a film. In this paper, we present a novel film segmentation scheme, in which low-level and semantic features from audio and image are integrated in m...

The study entitled Women's Language Features on Utterances of Charlie's Angels Movie seeks to examine women's language features and the reasons using by three main women character. data was taken from utterances (2019) movie. researchers used Lakoff's hypothesis investigate features. Lakoff (1975) suggested ten for women, but this analysis only found nine in movie, namely lexical hedges or fill...