Using Sentiment Analysis for Comparing Attitudes between Computer Professionals and Laypersons on the Topic of Artificial Intelligence

Xueying Wang
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引用次数: 1

Abstract

Most research in investigating computer professionals and laypersons' attitudes toward artificial intelligence (AI) are limited to online or offline surveys. This paper analyzes computer professionals' and laypersons' attitudes toward AI by using a sentiment lexicon developed by Wilson et al. To explore whether there is a correlation between the occupation categories (computer-related versus non-computer-related occupations) and people's attitudes toward artificial intelligence, I conducted a polarity classification of over 0.6 million tweets containing references to "AI", "artificial intelligence", or both. The result did not provide evidence of a relationship between public attitudes toward AI and the occupation categories. In the end, several future directions in the data collection and the data analysis are discussed.
用情感分析比较计算机专业人员和非专业人员对人工智能话题的态度
大多数调查计算机专业人员和外行对人工智能(AI)态度的研究仅限于在线或离线调查。本文通过使用Wilson等人开发的情感词汇来分析计算机专业人员和外行对人工智能的态度。为了探索职业类别(计算机相关与非计算机相关的职业)与人们对人工智能的态度之间是否存在相关性,我对60多万条包含“AI”、“人工智能”或两者兼而有之的推文进行了极性分类。该结果并没有提供公众对人工智能的态度与职业类别之间关系的证据。最后,对数据收集和数据分析的未来发展方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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