Turkish Newspapers’ Circulation vs Twitter Follower Counts

Colored bars indicate the ratio of circulation to Twitter follower counts.   red bars = circulation / follower_counts   blue bars = follower_counts / circulation     Initial Observations: Two newspapers lost most customers, Posta & Sozcu are tabloid populist newspapers… Liberal, Islamic, Conservative and Central right newspapers have higher circulation rate than followers on Twitter Newspapers with social liberal, […]

Detecting Political Leanings & Propagandists on Twitter

Detecting Political tweets based on hashtags: (single iteration proposed by Conover et al. can it be improved by multiple iterations?) start by labeling one popular/predictive hashtag from each camp manually. label new hashtags if they co-occur with the already labeled hashtags remove hashtags that co-occur below a threshold value, also manually remove the false positives. […]

Groups & Turkish Media

This study is built upon the data we collected for Turkish Media Clustering. This extension is two folds, we first look at the media preference of five major groups in Turkey; second, we visualize the group descriptiveness of the media. We selected two twitter accounts for each group and got the union of the follower IDs of […]

Resources for Turkish NLP Resources

Interestingly, I and both of the resource aggregators are from the same high school, i.e. Izmir Fen Lisesi Amac’s Blog  Deniz’s Blog Will maintain my own list upon these. I forked (copy-pasted) and combined their lists below. My Blog: Social Network Analysis and Data Mining (SoNADaM). Although the lab name does not include NLP or text […]

Turkish Media in 2D (MDS & PCA Plots)

Multidimensional scaling (MDS) allows us to visualize (dis)similarities in 2D by trying to preserve the distance between the objects as much as possible. The positioning of the newspapers in the image below is generated using this technique (employed manifold.MDS class in scikit-learn). The colors of the labels are the cluster colors obtained by modularity measure as stated […]

Doctor Referral Network

[This study will be presented at Sunbelt 2014 Conference on February 2014] Examining the referral network characteristics of the doctors and specialties may help us understand the workflows in the healthcare system better. In this study we reveal the patterns as well as anomalies in a complex network. We call it complex because we are […]

Turkish Media Analysis Exploiting Twitter

[UPDATE on 1/11/2014]: Meeting the first item in the future work list below: Groups & Media in Turkey. This study examines the relationship between the followers of Turkish media and their ideological and political positioning exploiting Twitter, a popular micro-blogging and social networking platform. Traditional media, i.e. newspapers, magazines and television channels have accounts/profiles/pages on social media […]

Sentiment Analysis and Opinion Mining

In this post, I am sharing my notes on the first three chapters of the book Sentiment Analysis and Opinion Mining by Bing Liu Sentiment Analysis Research Document level, sentence level, entity and aspect level Sentiment Lexicon and Its Issues Context matters: It sucks vs vacuum cleaner sucks Questions and conditional statements might not express an opinion: Is android good? If […]

Introduction to Computational Social Science (CSS)

[EDIT] I had the opportunity to make a presentation on CSS at a workshop in Princeton University. Here is my slides: Introduction to CSS articles: A comprehensive, structured, clear and concise CSS Survey article by Dr. Cioffi-Revilla. Lazer et al. in their Science article  approached the field from the availability of new data and list many examples […]