Analyzing social-media textual data using linguistic inquiry and word count /
This dataset is specifically designed to facilitate the learning and teaching of automated text analysis using the Linguistic Inquiry and Word Count (LIWC) tool. The dataset comprises publicly available social media posts from the official UK accounts of several well-known brands. The primary object...
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| Format: | eBook |
| Language: | English |
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London :
SAGE Publications Ltd,
2025.
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| Series: | SAGE research methods. Cases
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This dataset is specifically designed to facilitate the learning and teaching of automated text analysis using the Linguistic Inquiry and Word Count (LIWC) tool. The dataset comprises publicly available social media posts from the official UK accounts of several well-known brands. The primary objective of this example is to demonstrate the application of LIWC for the automated analysis of textual data found in social media posts. By using LIWC, students can learn how to categorize social media content based on predefined psychological measures embedded within the text. This categorization helps in understanding the underlying psychological traits and tendencies expressed in brand communications. To aid in the learning process, the data exemplar is supplemented with a comprehensive teaching guide for educators and a detailed student guide. |
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| Physical Description: | 1 online resource : illustrations |
| ISBN: | 9781036209360 1036209369 |