计算机科学 ›› 2021, Vol. 48 ›› Issue (11A): 17-21.doi: 10.11896/jsjkx.210300172
李建兰, 潘岳, 李小聪, 刘子维, 王天宇
LI Jian-lan, PAN Yue, LI Xiao-cong, LIU Zi-wei, WANG Tian-yu
摘要: 自然语言处理一直是人工智能领域中的热点话题,其中基于评论的文本分析吸引了学者的注意。通过对国内关于评论文本分析的文献进行可视化分析,进而掌握该领域的研究现状和前沿发展趋势。以中国知网为数据来源,共选取453篇有效的核心期刊论文,使用CiteSpace软件绘制知识图谱并加以分析。分析结果显示:该领域的文献数量在近15年内整体呈上升趋势;作者之间、研究机构之间的合作关系并不紧密,尚未形成具有凝聚力的研究群体;情感分析、在线评论、深度学习是目前研究的主要热点。从初期的理论基础发展以及应用方向上的扩展,到后期在分析手段和模型上做出改进,学者们对该领域的研究逐渐深入。未来各研究者及研究机构之间的合作关系还需加强,以深度学习为代表的各类模型未来将持续发展和改善。
中图分类号:
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