[PDF] Top 20 A Joint Sentiment Target Stance Model for Stance Classification in Tweets
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A Joint Sentiment Target Stance Model for Stance Classification in Tweets
... for stance classification using features based on modal verbs and ...to model agreements or disagreements in debate posts and to infer their ...user’s stance on the ...the stance of ... See full document
10
Stance Classification of Context Dependent Claims
... 2016 tweets stance classification (Mohammad et ...and tweets, the setting of this task is rather different from ours: the topic was known in advance to the participants, and an unlabeled ... See full document
11
Simple Open Stance Classification for Rumour Analysis
... • Binary regular expressions applied on each tweet: .*(rumor?—debunk?).*, .*is (that—this—it) true.*, etc. In total there are 10 features covering regular expressions. This work extends the features above, with new ... See full document
9
Joint Rumour Stance and Veracity Prediction
... veracity classification is considered a challenging task as one must typically predict a truth value from a sin- gle text, being the one that initiates the ...and sentiment, but also incorporates an ... See full document
14
Simple Open Stance Classification for Rumour Analysis
... • Binary regular expressions applied on each tweet: .*(rumor?—debunk?).*, .*is (that—this—it) true.*, etc. In total there are 10 features covering regular expressions. This work extends the features above, with new ... See full document
9
Hawkes processes for continuous time sequence classification : an application to rumour stance classification in Twitter
... on stance classifica- tion of rumour ...rumour tweets and Lukasik et ...the tweets associated with a new emerging rumour is the target for ...on model- ing dynamics of rumour ... See full document
7
Commonsense knowledge enhanced memory network for stance classification
... in tweets in supervised and weakly supervised ...to model both target and text for stance de- ...this model requires a very large unlabeled Twitter corpus in order to predict the ... See full document
10
Cross Target Stance Classification with Self Attention Networks
... Twitter stance detection, which contains stance-bearing tweets on different ...2. Tweets on an Australian mining project (AM): the second is our collection of tweets on a mining project ... See full document
6
A Dataset for Detecting Stance in Tweets
... between Stance and Sentiment Mohammad et al. (2016b) annotated the tweets in the Stance Dataset for whether they convey positive, negative, or neutral ...which stance can be determined ... See full document
8
Using Author Embeddings to Improve Tweet Stance Classification
... 32,792 tweets containing at least one of these ...the target distribution placed a weight of 1 on the most frequent hashtag, with all other hashtags having weight of ...this model RNN- MSG - HASHTAG ... See full document
11
Connecting targets to tweets : semantic attention based model for target specific stance detection
... the target-specific Stance Detec- tion task on tweets, such as [1, 4, 9, 16, ...specified target, to effectively update the states and memories of the ...between sentiment and ... See full document
16
A Dataset for Multi Target Stance Detection
... where sentiment toward dif- ferent entities and events is jointly modeled us- ing a rule-based probabilistic soft logic ...(the target sets depend on the context), which makes it hard to train a ...4,455 ... See full document
7
Multi Task Stance Detection with Sentiment and Stance Lexicons
... given target. Recent works show improve- ments in stance detection by using either the attention mechanism or sentiment informa- ...incorporates target-specific at- tention mechanism and at ... See full document
7
Collective Stance Classification of Posts in Online Debate Forums
... post stance in on- line debate should capture both the content and the context of author ...lective classification, as we further define in Sec- tion 3 (Sen et ...collective classification models ... See full document
9
Emergent: a novel data-set for stance classification
... its stance is for, against, or ob- serving the claim, where observing indicates that the article merely repeats the ...headline stance with respect to the ... See full document
6
Stance Classification using Dialogic Properties of Persuasion
... tures with χ 2 feature selection; we use JRIP as the base classifier because margins are used by the auto- matic MaxCut graph orientation algorithm. Exper- iments with different learners (NB, SVM) did not yield ... See full document
5
Emergent: a novel data set for stance classification
... Stance detection in the context of Emergent is one component in the process of fact-checking claims appearing in the news which are usually more complex than the entity-relation-entity or entity-property-number ... See full document
6
STANCY: Stance Classification Based on Consistency Cues
... Approach and Contributions: To overcome the limitations of prior works, we present STANCY, a neural network model for stance classification. Given an input pair of a claim and a user’s perspective, ... See full document
6
Toward Stance Classification Based on Claim Microstructures
... In online discussions, users express their opin- ions using more or less well structured arguments. The building blocks of these arguments are claims: statements that are in dispute and that we are try- ing to support ... See full document
7
Static and dynamic postural control deficits in aging fragile X mental retardation 1 (FMR1) gene premutation carriers
... static stance test, participants were instructed to stand as still as possible for three 30-s ...dynamic stance tests, par- ticipants completed three 30-s trials for each of two different self-initiated ... See full document
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