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Utterances Assessment in Chat Conversations
| Citations: | 3 - 3 self |
BibTeX
@MISC{Dascalu_utterancesassessment,
author = {Mihai Dascalu and Stefan Trausan-matu},
title = {Utterances Assessment in Chat Conversations},
year = {}
}
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Abstract
Abstract. With the continuous evolution of collaborative environments, the needs of automatic analyses and assessment of participants in instant messenger conferences (chat) have become essential. For these aims, on one hand, a series of factors based on natural language processing (including lexical analysis and Latent Semantic Analysis) and data-mining have been taken into consideration. On the other hand, in order to thoroughly assess participants, measures as Page’s essay grading, readability and social networks analysis metrics were computed. The weights of each factor in the overall grading system are optimized using a genetic algorithm whose entries are provided by a perceptron in order to ensure numerical stability. A gold standard has been used for evaluating the system’s performance.
Keyphrases
utterance assessment chat conversation overall grading system genetic algorithm instant messenger conference continuous evolution ass participant social network lexical analysis latent semantic analysis natural language processing system performance numerical stability automatic analysis gold standard collaborative environment
