An Experimental Result on Visualization of Word Sense Changes by Blog Text Analysis

Abstract

More than a decade have passed since blog or SNS became common. Massive amount of user-generated text has already been accumulated on the web. Many researchers are trying to analyze accumulated texts trying to exploit them in many fields. In such analysis, treatment of text meaning is important. Text is composed of words, thus word sense treatment is essential. However, word meanings undergo changes, thus we should consider word sense changes over time. In this paper, we present a method to detect and visualize word sense changes. The proposed method uses Random Indexing technique, which is based on the distributional hypothesis of word meanings. The result of an experiment on blog texts is also presented.