Group items tagged

Like most functions which break barriers of class, gender, and ethnicity by challenging social norms, the eighteenth-century masquerade had strong and vocal opponents.

"Middle-class moralist" such as Henry Fielding, Samuel Richardson and Eliza Haywood also aligned themselves with the anti-masquerade movement.

through their fictional writing and artistic expression [3]

TextAnalyst processes textual data through what is termed "natural language text analysis." Using linguistic rules and "artificial neural network technology," the program mimics human cognitive analytical processes. It begins by processing each document as a sequence of symbols, generating a hierarchical semantic network structure based on the frequency of terms and the relationships between them. After analyzing the document, each term (or theme) within the network is assigned an individual statistical weight (range 0-100) relative to its importance within the entire text. Additionally, the relationships between terms are also assigned a statistical weight, in effect highlighting the strength of thematic associations. TextAnalyst then engages in the process of renormalization - adjusting the statistical weight of each term based on its relationship to others. The renormalized values are termed "semantic weights" and can be arranged into a semantic network. High semantic weights are indicative of a term or theme having considerable significance within the overall text. Inter-item weights, also presented in the figures to follow, suggest significant association between text themes.

TextAnalyst processes textual data through what is termed "natural language text analysis." Using linguistic rules and "artificial neural network technology," the program mimics human cognitive analytical processes. It begins by processing each document as a sequence of symbols, generating a hierarchical semantic network structure based on the frequency of terms and the relationships between them. After analyzing the document, each term (or theme) within the network is assigned an individual statistical weight (range 0-100) relative to its importance within the entire text. Additionally, the relationships between terms are also assigned a statistical weight, in effect highlighting the strength of thematic associations. TextAnalyst then engages in the process of renormalization - adjusting the statistical weight of each term based on its relationship to others. The renormalized values are termed "semantic weights" and can be arranged into a semantic network. High semantic weights are indicative of a term or theme having considerable significance within the overall text. Inter-item weights, also presented in the figures to follow, suggest significant association between text themes.

They report that electronic mail messages exhibited uninhibited behaviour, such as "flaming" or flouting of social conventions,

This chapter will address the problem of teleidentity: how do we - or do we - "know" another person whom we have encountered in a mediated environment?

Knowing something about a person's social identity is fundamental for knowing how to act toward them, for the complex rules of social conduct that govern our behavior toward each other cannot function in the absence of information about the other

When we first meet someone, we perceive only a few details about them: perhaps their appearance, a few words they utter, the context in which we meet them. Yet our impression of them is much deeper. As George Simmel wrote in his influential 1908 article How is Society Possible? we do not see merely the few details we have actually observed, but "just as we compensate for a blind spot in our field of vision so that we are no longer aware of it, so a fragmentary structure is transformed... into the completeness of an individuality."