Emotional Analysis of Uzbek Short Text Based on Emotional Dictionary and Annotated Corpus

Abstract

Based on the Uzbek language of the cross-border national language in Central Asia, the Emotional Dictionary (including 6451 words) including adjectives, nouns, verbs, degrees and negative adverbs, negative words, transitions and progressive conjunctions, and complex phrases was built. The emotional labeling system was designed. The corpus containing 6000 online reviews was manually labeled with information such as sentiment categories, expressions and sentiment orientations. For Uzbek common sentences, adverb modifiers, non-verb negative sentences, double negative sentences, and transition sentences The sentiment analysis algorithm designed by the progressive sentence, using the emotional corpus and software application online review as a test set to carry out a short text sentiment analysis experiment. The results prove the effectiveness of the sentiment dictionary, the emotional corpus and the sentiment analysis algorithm, but also expose the weaknesses and inadequacies of the emotional dictionary in terms of data size, coverage, fineness and text preprocessing.