[PDF] Top 20 Automatic Humor Classification on Twitter
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Automatic Humor Classification on Twitter
... about humor and even sarcasm automatic recognition on ...of humor has not been con- fronted so far, as far as we ...applying classification and other NLP algorithms to the challenging task of ... See full document
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Polarity Classification Using Twitter Data
... Polarity Classification over Twitter offers different organizations a fast and effective way to monitor the feelings/emotions of general public towards their brand, business, politicians ...for ... See full document
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Automatic Classification of Tweets for Analyzing Communication Behavior of Museums
... tweet classification which aims to define the communication behavior of the 103 French museums that participated in 2014 in the Twitter operation: ...Our classification is ... See full document
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Automatic Tweet Classification Using Keyword Strapping
... analyzing Twitter archives from the past 4 year Learning Analytics and Knowledge (LAK11 to ...the Twitter data using the Hashtags, archived using the Twitter Archiving Google Spreadsheet ...unique ... See full document
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Homonym Detection For Humor Recognition In Short Text
... best automatic homograph recognition method. For the task of humor recognition, the WordNet approach signif- icantly outperforms the fixed list approach, which could suggest that recall is more important ... See full document
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Humor Recognition and Humor Anchor Extraction
... on humor recognition are formulated as a binary classification problem and try to recognize jokes via a set of linguistic features (Purandare and Litman, 2006; Kiddon and Brun, ...of humor- specific ... See full document
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Real time classification of Twitter trends
... an automatic classifier to identify the type of trigger that produces a social ...an automatic classification method that complies with the following assets to be used efficiently in real-time: (i) ... See full document
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Automatic Classification Of Stock Twitter Data By Using Different Svm Kernel Functions
... in classification, the actual predict value can compare directly with the help of confusion matrix then the Metrix will contrast predictions to the actual ... See full document
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What makes us laugh? Investigations into Automatic Humor Classification
... of humor, the sense of humour varies from person to person and therefore giving its types is even more ...of classification we try to answer the most basic question of Why do we laugh on a ...of ... See full document
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Making Computers Laugh: Investigations in Automatic Humor Recognition
... to classification accuracy, we were also interested in the variation of classifica- tion performance with respect to data size, which is an aspect particularly relevant for directing fu- ture ...that humor- ... See full document
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SURVEY ON EMOTION DETECTION IN SOCIAL MEDIA
... Alexander Paket. al in their paper, ”Twitter as a Corpus for Sentiment Analysis and Opinion Mining”, presented a method to collect a corpus with positive and negative sentiments, and a corpus of objective texts. ... See full document
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Automatic Discrete Modulation Classification
... In this postulation, a writing audit of the past strategy for regulation order has been done and a standout amongst the most surely understood methodologies has been reviewed with more subtle elements. The examination ... See full document
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Automatic Text Classification System
... Finally APA Scans the Remaining Text and assigns values to each remaining word and counts the iterations and compare phrases using the database Classification data. The classifier will classify the featured word ... See full document
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Automatic Marathi Text Classification
... Different classifiers such as Naïve Bayes, Centroid Based, K-Nearest Neighbor and Modified KNN were implemented and applied on 10 different samples. Average of these 10 sample‟s result was considered as ... See full document
9
Automatic Classification of Phonocardiogram
... ABSTRACT: This paper presents a novel method of automatic classification of phonocardiogram. The noisy phonocardiogram is segmented to form noisy datasets of one heart cycle. The dataset is created for ... See full document
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Automatic Classification of Epilepsy Lesions
... the classification exper- iments and the best accuracy rate we get is ...image classification and au- tomatic quantification of focal cortical dysplasia in the correlation study of MRI and epilepsy ... See full document
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Machine Classification for Suicide Ideation Detection on Twitter
... Facebook, twitter, LinkedIn turned into significant medium for ...on twitter and providing to the research related to the suicide ideation on communication ...from Twitter than other machine learning ... See full document
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Domain Based Categorisation Using Adaptive Pre processing
... based classification approach could be employed to automate the training ...the classification of a page as a home page by detecting a face at the top) would increase the classification ... See full document
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Real Time Classification of Twitter Trends using Support Vector Machine with Location Tracking
... example, Twitter turns the users' interest in the world and their social media with interpersonal interaction has influenced their ...of Twitter can be watched when clients progressively repost joins they ... See full document
9
Twitter Sentiment Analysis Using Adaboost Classification
... use Twitter messages in our experiment for development and training, we use the hashtagged data set (Dataset) from Twitter ...The Twitter API has a parameter that specifies in which language you want ... See full document
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