success prediction
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
... Table 1 presents the results. Our proposed method performs better than different baseline methods and obtains the highest weighted F1- score of 0.690. The results highlight the impor- tance of taking into account the ...
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Movie Success Prediction using Popularity Factor from Social Media
... the success of upcoming movies. For this prediction, we have used various input parameters in our project such as Actor1, Actor2, Director, Writer and ...
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Movie Success Prediction using Historical and Current Data Mining
... record. Success of a movie depends on various factors of past and ...movie success are budget, actors, director, producer, IMDb rating, IMDb metascore, IMDb vote count, rotten tomator’s tomatometer, actors ...
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Movie Success Prediction Using Data Mining
... Adarsh Tadimari et al. aimed at investigating the impact of the content of a movie’s trailer on its initial financial success[9].They created a database consisting of movie trailers, and various metadata ...
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Students’ Success Prediction based on Bayes Algorithms
... overall success of educational institutions can be measured by their students’ success, many studies are dedicated to predicting ...student’s success prediction based on Bayes algorithms and ...
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Success Prediction of Films at Box Office Using Machine Learning
... Here prediction of a movie’s success is predicted based on its features like cast, genre of movie, month of release, run time, directors, producers ...the success of an unreleased film based on ...
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Success prediction induction framework : success models for online applications, introducing network effects and trust constructs
... IS Success models provide a basis from within which some of the phenomena can be ...the success of key Web ...IS Success Model that can specifically be applied to e-commerce initiatives in order to ...
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A Multi task Approach to Predict Likability of Books
... Table 3 shows the results with our new proposed feature sets for the classification and regression tasks. In the ST setting, except for the character n- gram features, all proposed hand-crafted features individually had ...
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Prediction of product success: explaining song popularity by audio features from Spotify data
... product success prediction models, which can create new value ...sell prediction models to record companies and artists, but also to use them to improve their own services to music ...product ...
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Prediction of User Emotion and Dialogue Success Using Audio Spectrograms and Convolutional Neural Networks
... the best results in (Lykartsis et al., 2018) by 16%. However, it must be noted, that the datasets used are slightly different, in the sense that the task is a different one (finding the right laptop vs. find- ing the ...
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Prediction of a Movie’s Success From Plot Summaries Using Deep Learning Models
... Since these plot summaries were obtained from Wikipedia, where the data are crowd sourced vol- untarily. Hence, some movie summaries may have been written by people who like or value the movie. This may complicate our ...
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A Framework for Software Defect Prediction Using Neural Networks
... The prediction results indicate that the net (based on the proposed framework) tries to track the behavior of the full data set and sometimes its predicted value is more than the actual and sometimes ...
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The Prediction of Success of TEOG in the History of Revolution and Kemalism Course at the Stage of Transition from TEOG to LGS
... the success of TEOG exam and the written exam and the exams held by teachers related to the History of Revolution and Kemalism and determining how much the written exam results explain the variance in TEOG ...TEOG ...
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Cognitive load and mixed strategies: On brains and minimax
... equilibrium prediction, exhibit more serial correlation, have less success detecting and exploiting naive computer strategies, and have less success against exploitative computer ...
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The prediction of the success of first-year MBA candidates: One business school as a case study
... Berman and Cheng (2001), language is a great challenge to international students at English- speaking universities, especially in the first year of study, resulting in lower academic performance. In support, Woodrow ...
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Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning
... The effect of acute ischemia on tissue excitability induces conversion of VF from type-1 coarse VF to type-2 smooth VF [7]. Type 1 VF has now been correlated with the multiple-wavelet theory, while type 2 has been shown ...
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The role of subjective occupational success in prediction of occupational well-being in employees of an industrial company
... occupational success and its dimension had significant connections with occupational ...career success and positive feedback were significant predictors of occupational ...
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GRAPH PATTERN MATCHING IN YEAST DATASET
... A large earthquake of M7.0 occurred off-shore to the west of Fukuoka Prefecture, southwestern Japan, on 20 March, 2005. After that, more than ten aftershocks larger than M4 occurred in the submarine region. The ...
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Effects of ignorance and information on judgments and decisions
... their prediction success was surprisingly similar to knowledgeable English students—consistent with Goldstein and Gigerenzer’s (1999; 2002) characterization of the recognition ...
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Equity trend prediction with neural networks
... trend prediction network developed in this ...of prediction that doesn’t rely upon complex formation of a predictive function from the input data ...
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