Unsupervised method of clustering and labeling of the online product based on reviews

This paper presents an unsupervised approach to cluster reviews of products collected from Amazon and then generates its labels of each cluster.Instead of using a complete review,this paper splits a review into sentences and considers all sentences from the reviews as inputs for Clustering.Hierarchical Agglomerative Clustering(HAC)is used to cluster sentences.The approaches of cluster labeling are also unsupervised.For labeling,three different methods have been used to find a limited number of essential words for each cluster.Extracted essential words are used to construct phrases.Constructed phrases are used as labels for each cluster.This paper compares the result of the labeling method with baseline labeling.In the result evaluation,all the labeling methods outperform the baseline method.The aim of this research is cluster labeling that makes a set of labels to describe a cluster content and distinguishes the labels from other cluster labels.

新构式主义视角下汉语事件结构中的时量短语

本文在新构式主义视角下讨论汉语事件结构中的时量短语在句法推导中的作用。本文认为时量词具有整量词的特征,因此在DP中占据核心位置,名词通过“的”与时量词连接。时量短语整体合并于内时体标示词,以时间长度衡量事件体量。但在一些情况下时量词和名词可以分置于两处,时量词变成动词的补充,由名词界定事件的体量。本文分析指出,动词和宾语在句法上未必具有严格的选择关系,表面上差异明显的成分在句法上可能占据相同的位置,在事件结构中起类似的作用。