Link:
Publisher:
| International Journal of Applied Engineering Research |
Abstract:
| In this paper we proposed and implemented a Group-Author model which is based on modified LDA with underlying unsupervised learning method known as clustering technique for text mining. We proposed a variant of LDA which is known as Group-Author model which takes two global parameters pertaining to corpus. They are known as author distributions in corpus 𝛼 and astroturfing group author distributions in corpus 𝛽 . We defined two algorithms namely Latent Astroturfer Group Detection (LAGD) and Temporal Filtering Algorithm (TFA) for discovering social astroturfing groups which are latent and validating such groups respectively |