International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1394
3
1
gregorian
2015
6
1
7
2
online
1
fulltext
fa
Impact of Topic Modeling on Rule-Based Persian Metaphor Classification and its Frequency Estimation
فناوری اطلاعات
Information Technology
پژوهشي
Research
The impact of several topic modeling techniques have been well established in many various aspects of Persian language processing. In this paper, we choose to investigate the influence of Latent Dirichlet Allocation technique in the metaphor processing aspect and show this technique helps measure metaphor frequency effectively. In the first step, we apply LDA on Persian or so-called Bijankhan corpus to extract classes containing the words which share the most natural semantic proximity. Then, we develop a rule-based classifier for identifying natural and metaphorical sentences. The underlying assumption is that the classifier allocates a topic for each word in a sentence. If the overall topic of the sentence diverges from the topic of one of the words in the sentence, metaphoricity is detected. We run the classifier on whole the corpus and observed that roughly at least two and at most four sentence in the corpus carries metaphoricity. This classifier with an f-measure of 68.17% in a randomly 100 selected sentences promises that a LDA-based metaphoricty analysis seems efficient for Persian language processing.
Impact, LDA, Persian language, Metaphoricity
33
40
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-74&slc_lang=fa&sid=1
Hadi
Abdi Ghavidel
1003194753284600240
1003194753284600240
Yes
Parvaneh
Khosravizadeh
1003194753284600241
1003194753284600241
No
Afshin
Rahimi
1003194753284600242
1003194753284600242
No