The enhancement of TextRank algorithm by using word2vec and its application on topic extraction
Xiaolei Zuo, Silan Zhang, Jingbo Xia · Journal of Physics Conference Series · 2017
TextRank is a traditional method for keyword matching and topic extraction, while its drawback stems from the ignoring of the semantic similarity among texts. By using word embedding technique, Word2Vec was incorporated into traditional TextRank and four simulation tests were carried on for model comparison. The results showed that the hybrid combination of Word2Vec and TextRank algorithms achieved better keyword/topic extraction towards our testing text dataset.