@inproceedings{68428e0cef364a89b39b2d1fafe081e5,
title = "Streaming news sequential evolution model based on distributed representations",
abstract = "In the field of advance scientific research where world is moving towards less human resources and more machine. Distributed representation has been one of the major field in which the prospects of neural usage have shifted immensely. In this research paper we have discussed how distributed representations are being used in streaming data clustering, and how to build a sequential evolution model for a streaming news website. Firstly, the stream news data collected from the web are cut to several slices chronologically; in addition, word2vec models are built in different time periods for every slice of data; lastly, compare the relationship of any target word in sequential word2vec models and analyze the evolutional procedure of the target word. An experimental result shows that our method is able to emerge the trend of the relationship between target words which can't be easily measured through traditional methods.",
keywords = "Distributed Representation, Sequential Evolution Model, Streaming Text Analysis, Topic Trend",
author = "Khan, {Zohaib Ahmad} and Qinglin Wang and Yu Liu and Yuan Li",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8028895",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "9647--9650",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "United States",
}