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Hits 101 – 120 of 1.655

101
Political analytics on election candidates and their parties in context of the US Presidential elections 2020
Sorathiya, Rakshit. - : Laurentian University of Sudbury, 2021
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102
Bengalese Finch song repository ...
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103
Bengalese Finch song repository ...
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104
Preoperative Assessment of Language Dominance through Combined Resting-State and Task-Based Functional Magnetic Resonance Imaging ...
Ott, Christian; Rosengarth, Katharina; Doenitz, Christian. - : Universität Regensburg, 2021
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105
Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
, Rachele; , Marco; , Marinella. - : Zenodo, 2021
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106
Extending and Using a Sentiment Lexicon for Latin in a Linked Data Framework ...
, Rachele; , Marco; , Marinella. - : Zenodo, 2021
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107
Latin Embeddings and the LiLa Knowledge Base of Interlinked Resources for Latin ...
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108
Latin Embeddings and the LiLa Knowledge Base of Interlinked Resources for Latin ...
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109
Analyzing Tweets to Rank FIFA Players using Named Entity Recognition ...
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110
Analyzing Tweets to Rank FIFA Players using Named Entity Recognition ...
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111
CHoRaL: Collecting Humor Reaction Labels from Millions of Social Media Users ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.364/ Abstract: Humor detection has gained attention in recent years due to the desire to understand user-generated content with figurative language. However, substantial individual and cultural differences in humor perception make it very difficult to collect a large-scale humor dataset with reliable humor labels. We propose CHoRaL, a framework to generate perceived humor labels on Facebook posts, using the naturally available user reactions to these posts with no manual annotation needed. CHoRaL provides both binary labels and continuous scores of humor and non-humor. We present the largest dataset to date with labeled humor on 785K posts related to COVID-19. Additionally, we analyze the expression of COVID-related humor in social media by extracting lexico-semantic and affective features from the posts, and build humor detection models with performance similar to humans. CHoRaL enables the development of large-scale humor detection models on ...
Keyword: Computational Linguistics; Covid-19; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis
URL: https://dx.doi.org/10.48448/4nne-x773
https://underline.io/lecture/37879-choral-collecting-humor-reaction-labels-from-millions-of-social-media-users
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112
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer ...
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113
To be Closer: Learning to Link up Aspects with Opinions ...
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114
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees ...
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115
Data for: Charlie Chaplin and gesture training in severe aphasia: a randomized double-blind single-case experimental design. ...
Krasny-Pacini, Agata. - : Mendeley, 2021
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116
Data for: Charlie Chaplin and gesture training in severe aphasia: a randomized double-blind single-case experimental design. ...
Krasny-Pacini, Agata. - : Mendeley, 2021
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117
Bangla Bengali sentiment lexicon dictionary with positive and negative words ...
Sazzed, Salim. - : Mendeley, 2021
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118
Unconscious top-down contextual modulation at the categorical, but not lexical, level ...
Biderman, Dan. - : Open Science Framework, 2021
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119
Bangla Bengali sentiment lexicon dictionary with positive and negative words ...
Sazzed, Salim. - : Mendeley, 2021
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120
Bangla Bengali sentiment lexicon dictionary with positive and negative words ...
Sazzed, Salim. - : Mendeley, 2021
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