CSCL chats analysis using R package

This paper pCSCL chats analysisresents an approach to text analysis using time series and text mining, in order to extract knowledge from texts in order to analyze the types of texts that are closely related to the time factor, texts whose content can be represented on a temporal axis, such as logs chats. These techniques applied to the document type chat for determining correlations between words that occur most frequently in dialogs, and due to high frequency of occurrence are topics of discussion in the chat, and determine correlations between intervention participants in the dialogue. They can be represented using time series model, the coordinate time is the time of writing reply, and the value at that point is to replicate itself. Based on this representation, can be easily calculated correlations between rhythmic interventions with high occurrence. Research use R package that provides facilities for statistical processing.