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1por Sreenivasan, Sameet“…We use crowdsourced keywords from the Internet Movie Database as a window into the contents of films, and prescribe novelty scores for each film based on occurrence probabilities of individual keywords and keyword-pairs. …”
Publicado 2013
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2“…In this work, we investigate patterns in movie ratings, considering IMDb (the Internet Movie Database), a highly visited site worldwide, as a source. …”
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3“…In the video selection phase, professional videos, which were Western movie trailers, were selected from IMDb (Internet Movie Database) and amateur videos were selected from YouTube. …”
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4“…Celebrities were chosen from popular entertainment magazines and websites, including People Magazine, the Internet Movie Database (IMDb), Cosmopolitan, and Essence. …”
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5“…In this paper, a nonlinear activation function (NAF) is proposed to constructed three recurrent neural network (RNN) models (Simple RNN (SRNN) model, Long Short-term Memory (LSTM) model and Gated Recurrent Unit (GRU) model) for sentiment classification. The Internet Movie Database (IMDB) sentiment classification experiment results demonstrate that the three RNN models using the NAF achieve better accuracy and lower loss values compared with other commonly used activation functions (AF), such as ReLU, SELU etc. …”
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6por Palowitch, John“…On a large-scale bipartite graph derived from the Internet Movie Database (IMDB), the significance scores provided by FOCS correlate strongly with meaningful actor/director collaborations on serial cinematic projects.…”
Publicado 2019
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7“…We apply our method on a subset of the IMDb (Internet Movie Database) citation network consisting of around 47,000 international movies, and we derive a list of films that can be considered milestones in the history of cinema. …”
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8por Naeem, Muhammad Zaid, Rustam, Furqan, Mehmood, Arif, Mui-zzud-din, Ashraf, Imran, Choi, Gyu Sang“…The Internet Movie Database (IMDb), being one of the popular online databases for movies and personalities, provides a wide range of movie reviews from millions of users. …”
Publicado 2022
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9“…Three large corpora are chosen as the subjectivity and objectivity datasets, the Shopee user review dataset (ShopeeRD) for subjectivity, together with the Wikipedia English dataset (Wiki-en) and Internet Movie Database (IMDb) for objectivity. Word embeddings are created using Word2Vec with Skip-Gram. …”
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10por Dubourg, Edgar, Thouzeau, Valentin, de Dampierre, Charles, Mogoutov, Andrei, Baumard, Nicolas“…For computational tests, we leverage two large cultural datasets, namely the Internet Movie Database (N = 9424 movies) and the Movie Personality Dataset (N = 3.5 million participants), and use machine-learning algorithms (i.e., random forest and topic modeling). …”
Publicado 2023
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11“…METHODS: A systematic search of keywords related to dementia was completed on the Internet Movie Database. The search was conducted in May 2022. …”
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12por Karimi, Zohre“…The proposed algorithm is applied to four various common input features on two benchmark datasets, the Internet Movie Database (IMDB) and the Amazon review dataset. …”
Publicado 2023
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13“…METHODS: We conducted a search for English language depictions of gout in film and television since 1990 using the Internet Movie Database (IMDb), other internet media databases, and member suggestions from the Gout, Hyperuricemia and Crystal-Associated Disease Network (G-CAN). …”
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14por Panayi, Adriana C., Endo, Yori, Huidobro, Angel Flores, Haug, Valentin, Panayi, Alexandra M., Orgill, Dennis P.“…METHODS: The international film databases Internet Movie Database (IMDb), The American Film Institute (AFI), and British Film Institute (BFI) were searched from 1919 to 2019 to identify feature-length films with a link to plastic surgery. …”
Publicado 2021
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15“…INTRODUCTION: Crowdsourcing has become an increasingly important tool to address many problems – from government elections in democracies, stock market prices, to modern online tools such as TripAdvisor or Internet Movie Database (IMDB). The CHNRI method (the acronym for the Child Health and Nutrition Research Initiative) for setting health research priorities has crowdsourcing as the major component, which it uses to generate, assess and prioritize between many competing health research ideas. …”
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16“…We initially create an artificial neural networks model, and then train the model using an Internet Movie Database (IMDB) dataset. Next, the pre-trained artificial neural networks model is converted into our proposed spiking neural networks model, called a spiking sentiment analysis (SSA) model. …”
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