Classification of Consumer Belief Statements From Social Media
- URL: http://arxiv.org/abs/2106.15498v2
- Date: Mon, 24 Jul 2023 20:08:20 GMT
- Title: Classification of Consumer Belief Statements From Social Media
- Authors: Gerhard Johann Hagerer and Wenbin Le and Hannah Danner and Georg Groh
- Abstract summary: We study how complex expert annotations can be leveraged successfully for classification.
We find that automated class abstraction approaches perform remarkably well against domain expert baseline on text classification tasks.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Social media offer plenty of information to perform market research in order
to meet the requirements of customers. One way how this research is conducted
is that a domain expert gathers and categorizes user-generated content into a
complex and fine-grained class structure. In many of such cases, little data
meets complex annotations. It is not yet fully understood how this can be
leveraged successfully for classification. We examine the classification
accuracy of expert labels when used with a) many fine-grained classes and b)
few abstract classes. For scenario b) we compare abstract class labels given by
the domain expert as baseline and by automatic hierarchical clustering. We
compare this to another baseline where the entire class structure is given by a
completely unsupervised clustering approach. By doing so, this work can serve
as an example of how complex expert annotations are potentially beneficial and
can be utilized in the most optimal way for opinion mining in highly specific
domains. By exploring across a range of techniques and experiments, we find
that automated class abstraction approaches in particular the unsupervised
approach performs remarkably well against domain expert baseline on text
classification tasks. This has the potential to inspire opinion mining
applications in order to support market researchers in practice and to inspire
fine-grained automated content analysis on a large scale.
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