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Stance detection is usually considered as a subproblem of sentiment analysis and aims to identify the stance of the text author towards a target (an entity, concept, event, idea, opinion, claim, topic, etc.) either explicitly mentioned or implied within the text.
Definition 1 (Stance Detection). For an input in the form of a piece of text and a target pair, stance detection is a classification problem where the stance of the author of the text is sought in the form of a category label from this set: {Favor, Against, Neither}.
Definition 2 (Multi-Target Stance Detection). For an input in the form of a piece of text and a set of related targets, multi-target stance detection is a classification problem where the stance of the text author is sought as a category label from this set: {Favor, Against, Neither} for each target and each stance classification (for each target) might have an effect on the classifications for the remaining targets
Definition 3 (Cross-Target Stance Detection). Cross-target stance detection is a classification problem where the stance of the text author is sought for a specific target as a category label from this set: {Favor, Against, Neither}, in a settings where stance annotations are available for (though related but) different targets, i.e., there is not enough stance-annotated training data for the target under consideration.
Definition 4 (Rumour Stance Classification). For an input in the form of a piece of text and a rumour pair, rumour stance classification is a problem where the position of the text author towards the veracity of the rumour is sought for, in the form of a category label from this set: {Supporting, Denying, Querying, Commenting}.
Definition 5 (Fake News Stance Detection). For an input in the form of news headline and a news body pair (where the headline and body parts may belong to different news articles), this is a classification problem where the stance of the body towards the claim of the headline is sought for, in the form of a category label from this set: {Agrees, Disagrees, Discusses (the same topic), Unrelated}.
This library mainly includes the following algorithms:
Stance detection is the extraction of a subject's reaction to a claim made by a primary actor.
Text CSV Pickle HCL other
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