Interesting progress in text mining that includes repeated memes and context. Technical.
A system for extracting and comparing memes in online forums
Héctor Beck-Fernandeza, , David F. Nettletonb, , , Lorena Recaldeb, , Diego Saez-Trumperb, , Alexis Barahona-Peñarandaa,
Highlights
Automatic extraction of top memes (key concepts, relations) from unstructured text.
Sophisticated meme construction and matching algorithm.
System with default/customizable control parameter set.
No preprocessing of text or manual intervention between steps is necessary.
Results show a better information retrieval F-score than other methods.
Abstract
From their origins in the sociological field, memes have recently become of interest in the context of `viral' transmission of basic information units (memes) in online social networks. However, much work still needs to be done in terms of metrics and practical data processing issues. In this paper we define a theoretical basis and processing system for extracting and matching memes from free format text. The system facilitates the work of a text analyst in extracting this type of data structures from online text corpuses and n performing empirical experiments in a controlled manner. The general aspects related to the solution are the automatic processing of unstructured text without need for preprocessing (such as labelling and tagging), identification of co-occurences of concepts and corresponding relations, construction of semantic networks and selecting the top memes. .... "
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