Stylometric Analysis of Genre in Hindi Literature

The field of stylometry is the quantitative study of writing style. It is used for analyzing various patterns in writing text such as vocabulary, parts of speech, punctuations etc. In this paper a detailed analysis of various techniques of Stylometry analysis is being done and  some of their applications are discussed. In this research, stylometric analysis of Genre in hindi literature is being done. , we have used a dataset of four Hindi stories each from four different famous Indian authors. Features are extracted from the preprocessed text data using the TF-IDF (Term Frequency-Inverse Document Frequency) technique. PCA is applied for dimensionality reduction. The results were good, effectively creating different groups that stand for different literary motifs or styles within the dataset

Digital Stylometry: Linking Profiles Across Social Networks

There is an ever growing number of users with accounts on multiple social media and networking sites. Consequently, there is increasing interest in matching user accounts and profiles across different social networks in order to create aggregate profiles of users. In this paper, we present models for Digital Stylometry, which is a method for matching users through stylometry inspired techniques. We experimented with linguistic, temporal, and combined temporal-linguistic models for matching user accounts, using standard and novel techniques. Using publicly available data, our best model, a combined temporal-linguistic one, was able to correctly match the accounts of 31% of 5,612 distinct users across Twitter and Facebook.Comment: SocInfo'15, Beijing, China. In proceedings of the 7th International Conference on Social Informatics (SocInfo 2015). Beijing, Chin