Table 6 - uploaded by Hemlata Pande
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In automatic text categorization procedure, quantifiable features' information is extracted from a text and on the basis of the information the text is sorted as a category. This information consists of values of set of one or more measurements, where the measurements can be considered as frequencies or function of frequencies of linguistic element...
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Author Profiling is a text classification technique to predict the demographic features like age, gender, native language, location, educational background of the authors by analyzing their writing styles. Term weight measures identify the term discriminators for classifying the documents by assigning suitable weights to the terms. In this work, a...
Citations
... Initially this problem started as the most basic problem of author identification of anonymous texts, now it has expanded for forensic analysis, electronic commerce etc. This extended version of author attribution problem has been defined as needle-in-a-haystack problem [12]. ...
With the advent of internet, we have loads of documents online. Many of these are anonymous or claimed by more than one person. Identifying the authors of such documents is beneficial for many reasons. The textual content is composed of linguistic domains. Each of these domains is governed by rules, yet within these rules and among the components, the grammar offers flexibility to the writers. In this paper we compare the various techniques used to identify the corresponding authors of documents.
... "Word length" is a significant aspect in the field of quantitative linguistics. The references of works by different researchers regarding word length and applications of data associated with the word-length can be seen in our previous work (Pande and Dhami, 2013). In this research paper we have tested the role of quantitative word length features in classification of written texts of Hindi language by considering the word length in terms of the number of graphemic components present in the word. ...
Present paper is an attempt in the direction to identify the writing style of different sets of
texts, selected from diverse sources, by the process of dimensionality reduction. For the purpose,
the texts have been analyzed on the basis of six measures obtained by their word-lengthfrequency
profile and the length of a word has been calculated on the basis its vowel consonant
structure. An innovative attempt has been made to check the role for taxonomy of the measures,
such as median, lower quartile etc., which were determined with the help of cumulative
frequency curve.
... The works of Antic et al(2006), Kelih et al (2005, 2006) etc. can be cited regarding the applications of word or sentence length in the discrimination of genres and/or authors to mention only a few. We, in our earlier works (Pande and Dhami, 2013, 2016), have examined the role of word length features in classification of written texts of Hindi language and applied the sentence length frequency profile for authorship attribution for Hindi stories respectively. ...
... Initially this problem started as the most basic problem of author identification of anonymous texts, now it has expanded for forensic analysis, electronic commerce etc. This extended version of author attribution problem has been defined as needle-in-a-haystack problem [12]. ...
With the advent of internet, we have loads of documents online. Many of these are anonymous or claimed by more than one person. Identifying the authors of such documents is beneficial for many
reasons. The textual content is composed of linguistic domains. Each of these domains is governed by rules, yet within these rules and among the components, the grammar offers flexibility to the writers. In this paper we compare the various techniques used to identify the corresponding authors of documents.
