Poem Emotion Recognition Corpus (PERC)

Even though there is available of the lexicon in emotion analysis, to identify emotion from poems had to rely on limited emotion lexicons. Since those lexicons are not created for poems, and it is not concentrated on poetic features. This paper presents a text corpus PERC(Poem Emotion Recognition Corpus) comprising a set of poems and features for emotion recognition from poems. Emotion classication is based on 'Navarasa,' described in 'Natyasastra.' Navarasa consists of nine primary emotions such as Love, Sad, Anger, Hate, Fear, Surprise, Courage, Joy, and Peace. Although there are many text corpus for emotion recognition, we do not know of a text corpus for poems based on nine emotions. The corpus created is from an exhaustive collection of poems of Indian poets for the period 1850-2016. The novelty of this work is the creation of a corpus using poems mined from the web and evaluated by human experts.

尽管在情感分析领域已有丰富的词汇资源，但识别诗歌中的情感仍不得不依赖于有限的情感词汇库。由于这些词汇库并非专为诗歌创作而设计，且未聚焦于诗歌特有的特征，本文提出了一种文本语料库——PERC（诗歌情感识别语料库），该语料库包含了一系列诗歌及其情感识别特征。情感分类基于《Natyasastra》中所述的‘Navarasa’理论，其中包含九种基本情感，如爱情、悲伤、愤怒、仇恨、恐惧、惊讶、勇气、喜悦和和平。尽管存在众多用于情感识别的文本语料库，但尚未发现基于九种情感的诗歌语料库。所创建的语料库来源于对1850年至2016年期间印度诗人诗歌的全面搜集。本工作的创新之处在于，通过从网络中挖掘诗歌并经人类专家评估，构建了这样一个语料库。