Community detection has been used in multiple fields, such as social networks, biological networks, tele-communication networks and fraud/terrorist detection etc. Traditionally, it is performed on an entity link graph in which the vertices represent the entities and the edges indicate links between pairs of entities, and its target is to
In 2011, Loughran and McDonald applied a general sentiment word list to accounting and finance topics, and this led to a high rate of misclassification. They found that about three-fourths of the negative words in the Harvard IV TagNeg dictionary of negative words are typically not negative in a financial
Recently a colleague told me Google had published new, interesting data sets at BigQuery. I found a lot of Reddit data as well, so I quickly tried running BigQuery with these text data to see what I could produce. After getting some pretty interesting results, I wanted to see if
In my last post, I showed you how to generate a word cloud of pdf collections. Word clouds show you which terms are mentioned by your documents and the frequency with which they occur in the documents. However, word clouds cannot lay out words from a semantic or linguistic perspective.
Last week, I attended the IALP 2016 conference (20th International Conference on Asian Language Processing) in Taiwan. After the conference, each presenter received a u-disk with all accepted papers in PDF format. So when I got back to Beijing, I began going through the papers to extend my learning. Usually, when