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Emergent: a novel data-set for stance classification
... using data from fact-checking websites such as Politifact 1 , but the la- belling provided by the journalists is only the degree of truthfulness of the claims, without any machine- readable verdicts to supervise ... See full document
6
Emergent: a novel data set for stance classification
... present Emergent, a novel data-set de- rived from a digital journalism project for ru- mour ...The data-set contains 300 rumoured claims and 2,595 associated news articles, ... See full document
6
A Joint Sentiment Target Stance Model for Stance Classification in Tweets
... two stance classification ...was set to ...noisy stance labels; because of this, we performed early stopping in training to avoid overfitting to the wrong ...development set, we used a ... See full document
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Stance Classification of Context Dependent Claims
... claim stance classi- fication, along with the first benchmark dataset for this ...ment classification for each target, and (c) open-domain contrast detection between the topic and the claim ...a ... See full document
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Simple Open Stance Classification for Rumour Analysis
... Stance classification determines the atti- tude, or stance, in a (typically short) ...efficient classification approach to open stance classification in Twitter, for ru- mour and ... See full document
9
A Novel Classifier for Gender Classification from Iris Code used for Recognition
... the set of categories a new observation belongs, on the basis of a training set of data containing observations whose category membership is ...or classification, various methods are ... See full document
7
Using Author Embeddings to Improve Tweet Stance Classification
... unlabeled set of tweets and user embeddings, creating flexibility in which tasks can be improved by using this ...media stance classification are not new, they have only been performed at the ... See full document
11
Scrutable Feature Sets for Stance Classification
... 1030, 856, 1478, 920 and 586 posts for do- mains of abortion rights, creation, gay rights, god and gun rights, respectively. We devel- oped our ideas by manual examination of the abortion rights debate, leaving the other ... See full document
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Simple Open Stance Classification for Rumour Analysis
... rumour data released by Zubiaga et ...in-domain data (data from the n th rumour) is also included in the training ...tackled classification of stance in new ru- mours that differ from ... See full document
9
Collective Stance Classification of Posts in Online Debate Forums
... users’ stance supports identification of so- cial and political groups, building of better recommender systems, and personaliza- tion of users’ information preferences to their ideological ...a novel ... See full document
9
Frame Semantics for Stance Classification
... in stance classification of online de- bates, focusing in particular on ideological de- ...training set using syntactic depen- dencies and semantic frames that aim to capture the meaning of a ... See full document
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Data Set for Stance and Sentiment Analysis from User Comments on Croatian News
... We also experiment with some deep learning based models. As the encoder for text we con- sider convolutional neural networks (Krizhevsky et al., 2012), gated recurrent units (GRU) (Cho et al., 2014), and long short-term ... See full document
6
Stance Classification of Ideological Debates: Data, Models, Features, and Constraints
... to stance classification of online debates by examining the following questions, which can be broadly categorized along four dimensions: ...a stance classification system simply by increasing ... See full document
9
STANCY: Stance Classification Based on Consistency Cues
... perspectives. Stance classification is a necessary step for inferring these perspectives in terms of supporting or opposing the ...for stance classification leveraging BERT representations and ... See full document
6
From Argumentation Mining to Stance Classification
... and stance classifica- tion were recently introduced as interesting tasks in text ...a novel framework for argument tagging based on topic modeling is ...large set of labeled data, the ... See full document
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COMPARATIVE ANALYSIS OF CLASSIFICATION TECHNIQUES FOR ACCURACY ON A MULTIVARIATE DATA SET
... In data mining, decision trees can be described also as the combination of mathematical and computational techniques to aid the description, categorization and generalization of a given set of ... See full document
5
Using rough set through for classification of image segmentation data
... unseen data that can guide and facilitate a crucial business decision making ...task. Data mining comprises several tasks such as classification, forecasting, prediction, clustering, association, ... See full document
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Analysis of Attribute Selection and Classification Algorithm Applied to Hepatitis Patients
... For this research, five classier are chosen to predict hepatitis data. The classifier is NaiveBayesUpdatable, SMO, KStar, RandomTree, and SimpleLogistic. The analysis is done by looking at the mean absolute error, ... See full document
5
Toward Stance Classification Based on Claim Microstructures
... Claims are the building blocks of argu- ments and the reasons underpinning opin- ions, thus analyzing claims is important for both argumentation mining and opinion mining. We propose a framework for rep- resenting claims ... See full document
7
A Novel Technique For Secure Data Transmission Using Cryptography And Steganography
... In networking, cryptography can be specified as the security service for data and telecommunications. Cryptography is a primary way to address message transmission security requirements. Encryption and decryption ... See full document
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