Distributed sentiment analysis of an agglutinative language via Spark by applying machine learning methods

2019 15th International Conference on Electronics, Computer and Computation (ICECCO)(2019)

引用 3|浏览1
暂无评分
摘要
Currently there are a large amount of studies conducted on the field of sentiment analysis worldwide. Due to continuous drastic increase of amount of data, all natural language processing systems require special approach oriented to it. Implementing and evaluating such mechanism was a strong incentive to conduct this research. In this paper, sentiment analysis was implemented on Kazakh language via Spark on the basis of data set taken from Kazakh books. The data was initially unbalanced. There was achieved training F1 measure over 90 %.
更多
查看译文
关键词
distributed sentiment analysis,spark in NLP,spark and machine learning,agglutinative language
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要