A Method for Searching Emotional Tendencies by Expressions based on Convolutional Neural Networks

DOI

10.2991/icimm-16.2016.102How to use a DOI?

Keywords

Natural Language Processing; Emotional Analysis; Orientation Analysis; Search Engines

Abstract

A search engine is becoming increasingly important given the massive influx of big data. In most cases, users get feedback based on the search theme. However, sometimes users need to search in terms of textual emotions. This thesis puts forward a regular emotional expression based on a regular expression, a method which searches emotional tendency in expressions via XieFCNN. At the same time, this thesis constructs a prototype of an emotional search engine, which enables searching in terms of themes and emotional tendencies. Experiments show that the prototype system can realize the use of expressions in the search of emotional tendencies.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yujia Xie
PY  - 2016/11
DA  - 2016/11
TI  - A Method for Searching Emotional Tendencies by Expressions based on Convolutional Neural Networks
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 559
EP  - 564
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.102
DO  - 10.2991/icimm-16.2016.102
ID  - Xie2016/11
ER  -