[PDF] Top 20 Multi-Class Twitter Emotion Classification: A New Approach
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Multi-Class Twitter Emotion Classification: A New Approach
... automatic emotion-based classification of ...sentence-level emotion annotations; they do not focus on context of emotion in a sentence, as we do in our ... See full document
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Korean Twitter Emotion Classification Using Automatically Built Emotion Lexicons and Fine-Grained Features
... generate emotion lexi- ...construct emotion wordlists easily and automatically by using only a small set of seed ...translation-based approach also translates the existing emotion lexicons ... See full document
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Multi-label classification of music by emotion
... automatic emotion detection in ...different emotion at the same time. Single-label classification and regression cannot model this ...on multi-label classification approaches, where a ... See full document
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GEML: A Grammatical Evolution, Machine Learning Approach to Multi-class Classification
... Although classification and clustering are conceptually similar, in practice the techniques are usually used in fundamentally di ff erent ways: clustering methods are generally applied to unsupervised tasks and do ... See full document
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Two Step Approach for Emotion Detection on Twitter Data
... the emotion or mood of the tweet and classify the twitter message under appropriate emotional ...Our approach is a two-step approach, it is so called as it uses two approaches for the ... See full document
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DIRECT AND INDIRECT DISCRIMINATION PREVENTION AND RULE GENERATION IN DATA MINING
... many new techniques propose for solving discrimination prevention problems by applying direct or indirect discrimination prevention individually or both at the same ...time. New metrics to evaluate the ... See full document
12
Multi Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition
... fine-grained multi-class sentiment clas- sification for one of the twitter ...large twitter dataset and proposed a Gated Recurrent Neural Network model for fine-grained emotion ... See full document
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A New Multi-Class WSVM Classification to Imbalanced Human Activity Dataset
... the class imbalance problem in activity recognition field which has been known to hinder the learning performance of classification ...a new version of the multi-class Weighted Support ... See full document
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Emotion Analysis on Twitter: The Hidden Challenge
... tweet emotion classification and ETCR for tweet emotion relevance – created in the hope of providing evaluation data that avoids problems of ...of emotion classification and tweet ... See full document
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Emotion and polarity prediction from Twitter
... Machine learning is a part of artificial intelligence (AI), using various algorithms that help devices such as a computer to learn. An algorithm is given a data set whereby it concludes information about the properties ... See full document
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SMILE : Twitter emotion classification using domain adaptation
... tion classification across different domains and on Twitter data remains a challenging ...effective approach for tackling a cross-domain emotion classification task on a set of ... See full document
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Sentiment Analysis of Twitter Data Using Multi Class Semantic Approach
... based approach to convert structured review into numerical score ...based approach we have preprocessed dataset using feature selection and semantic ...of Twitter dataset have been done in ... See full document
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Cognitive-Affective Emotion Classification: Comparing Features Extraction Algorithm Classified by Multi-class Support Vector Machine
... using Multi-class Support Vector Machine (multi-class ...of multi-class SVM ...best approach to classifying facial ...for multi-class emotion ... See full document
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Twitter Demographic Classification Using Deep Multi modal Multi task Learning
... this new media age than traditional ...on Twitter is not representative of the general pop- ...deep multi-modal multi- task learning architecture to reach a state- of-the-art performance, ... See full document
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Multi Class Classification Approach for Classification of ADAMs, MMPs and Their Subclasses
... develop new therapeutic agents and elucidation of metabolic pathway associated with ...functional classification of MMPs and ADAMs using the structure of their catalytic sites ...for classification ... See full document
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Multi class Animacy Classification with Semantic Features
... We also include a feature based on WordNet dis- tances. In this work, we use the path distance sim- ilarity measure provided in NLTK (Bird, 2006). In essence, this measure provides a score based on the shortest path that ... See full document
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TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection
... proteins. Cancer results from cumulative mutations of proto-oncogenes and suppressor genes which together allow the unregulated growth of cells. Hence, cancer development involves uncontrolled cell division resulting ... See full document
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Event Driven Emotion Cause Extraction with Corpus Construction
... an emotion word of ...of emotion keywords does not necessarily guarantee the exis- tence of emotional cause ...the emotion categories and the cause(es) in the W3C Emotion Markup Language (EML) ... See full document
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Data Fusion for Traffic Incident Detection Using D-S Evidence Theory with Probabilistic SVMs
... distributed multi-source multi-class problem, this paper investigates a new traffic incident pattern recognition approach based on Demspter-Shafer evidence theory used to combine ... See full document
8
Speech emotion classification using SVM and MLP on prosodic and voice quality features
... Kertas kerja ini melaporkan kajian perbandingan pengkelasan emosi suara antara Sokongan Mesin Vektor (SVM) dan Multi-Layer Perceptron (MLP) Rangkaian neural menggunakan ciri prosodic dan kualiti suara yang ... See full document
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