Identifying themes in fiction: A centroid-based lexical clustering approach
نویسندگان
چکیده
منابع مشابه
A Computational Approach for Identifying Quranic Themes
In this paper, we present a simple mining technique named the Quran Mining Technique (QMT) in an attempt to automatically classify the Suras (i.e. chapters) of the Quran based on predefined set of 10 themes. QMT is composed mainly of two phases: a preprocessing phase and a classification phase. In the first phase, we manually label a set of representative words for ten predefined themes. In the...
متن کاملIdentifying Component Themes of the Consumer Products` Brand Personality in Contemporary Iranian Market (A Qualitative Approach)
Nowadays, marketing professionals are increasingly aware of the importance of brands in the success of organizations, as it can be an asset with utmost importance for a lasting competitive advantage. Indeed, what is called a brand is something far more than a name. The brand and its affiliates pave the way for human communication. Brand personification is done in this respect. Although BP can b...
متن کاملa study of baudrillards ideas in brian moores fiction
پیدایش مرحله ی جدیدی از نظام سرمایه داری بعد از جنگ جهانی دوم همزمان است با ظهور عصر اطلاعات و رسانه جمعی. در چنین جامعه ای سیر آزادانه ی نشانه ها در فضای بی اساس مجازی بر سرعت فرسایش واقعیت می افزاید. به اعتقاد بودریار، فقدان واقعیت به واسطه ی شبیه سازی آن و تولید حاد واقعیت (hyperreality) پنهان خواهد ماند. این پژوهش بر آن است که جامعه فرانوین توصیف شده در سه رمان بریان مور را با توجه به نظر...
15 صفحه اولPseudo-centroid clustering
Pseudo-Centroid Clustering replaces the traditional concept of a centroid expressed as a center of gravity with the notion of a pseudo-centroid (or a coordinate free centroid) which has the advantage of applying to clustering problems where points do not have numerical coordinates (or categorical coordinates that are translated into numerical form). Such problems, for which classical centroids ...
متن کاملA Hybrid Time Series Clustering Method Based on Fuzzy C-Means Algorithm: An Agreement Based Clustering Approach
In recent years, the advancement of information gathering technologies such as GPS and GSM networks have led to huge complex datasets such as time series and trajectories. As a result it is essential to use appropriate methods to analyze the produced large raw datasets. Extracting useful information from large data sets has always been one of the most important challenges in different sciences,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Dil ve Dilbilimi Çalışmaları Dergisi
سال: 2021
ISSN: 1305-578X
DOI: 10.17263/jlls.903518