Similarity Calculation Method of Chinese Short Text Based on Semantic Feature Space
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 2
Abstract
In order to improve the accuracy of short text similarity calculation, this paper presents the idea that use the history of short text messages to construct semantic feature space, then use the vector in semantic feature space to represent short text and do semantic extension, and finally calculate the short text similarity of corresponding vector in the semantic feature space. This method can represent the semantic information of short text message thoroughly so as to improve the accuracy of similarity calculation. We selected a large number of problem test sets for experiments. The results show that the method we proposed is reasonable and effective.
Authors and Affiliations
Liqiang Pan, Pu Zhang, Anping Xiong
Keywords
Related Articles
- EP ID EP142668
- DOI 10.14569/IJACSA.2015.060242
- Views 103
- Downloads 0
Design Patterns and General Video Game Level Generation
Design patterns have become a vital solution for a number of problems in software engineering. In this paper, we have performed rhythmic analysis of General Video Game Level Generation (GVG-LG) framework and have discern...
Time Variant Change Analysis in Satellite Images
This paper describes the time variant changes in satellite images using Self Organizing Feature Map (SOFM) technique associated with Artificial Neural Network. In this paper, we take a satellite image and find the time v...
Representing Job Scheduling for Volunteer Grid Environment using Online Container Stowage
Volunteer grid computing comprises of volunteer resources which are unpredictable in nature and as such the scheduling of jobs among these resources could be very uncer-tain. It is also difficult to ensure the successful...
A GRASP-based Solution Construction Approach for the Multi-Vehicle Proļ¬table Pickup and Delivery Problem
With the advancement of e-commerce and Internet shopping, the high competition between carriers has made many companies rethink their service mechanisms to customers, in order to ensure that they stay competitive in the...
Efficient Mining of Association Rules based on Clustering from Distributed Data
Data analysis techniques need to be improved to allow the processing of data. One of the most commonly used techniques is the Association Rule Mining. These rules are used to detect facts that often occur together within...