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Academic Journal of Humanities & Social Sciences, 2022, 5(10); doi: 10.25236/AJHSS.2022.051011.

A study of sentiment differences in different event-related texts based on natural language processing


Gan Lin

Corresponding Author:
Gan Lin


Which kinds of events can bring more happiness to us? Which types of events are more likely to make people sad? Are those events related to life, relationships, work, or study? Some clues can be found by analyzing many texts recorded by myriad number of users on social media. This study used natural language processing (NLP) techniques to mine important information from 80,747 text-based Weibo blog posts and determined their textual sentiment values. SPSS statistical software was also used to analyze the variance in sentiment values of life, relationships, work, and study related texts. The results showed that work-related texts had the highest proportion of negative sentiment values and a significantly lower mean sentiment value, and that study-related texts had a significantly higher mean sentiment value.


Sentiment differences; Narural language processing(NLP); Sentiment value

Cite This Paper

Gan Lin. A study of sentiment differences in different event-related texts based on natural language processing. Academic Journal of Humanities & Social Sciences (2022) Vol. 5, Issue 10: 56-60. https://doi.org/10.25236/AJHSS.2022.051011.


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