Emotion in Code-switching Texts: Corpus Construction and Analysis
Sophia Lee, Zhongqing Wang · 2015
Previous researches have focused on analyzing emotion through monolingual text, when in fact bilingual or code-switching posts are also common in social media.Despite the important implications of code-switching for emotion analysis, existing automatic emotion extraction methods fail to accommodate for the code-switching content.In this paper, we propose a general framework to construct and analyze the code-switching emotional posts in social media.We first propose an annotation scheme to identify the emotions associated with the languages expressing them in a Chinese-English code-switching corpus.We then make some observations and generate statistics from the corpus to analyze the linguistic phenomena of code-switching texts in social media.Finally, we propose a multiple-classifier-based automatic detection approach to detect emotion in the codeswitching corpus for evaluating the effectiveness of both Chinese and English texts.