scholarly journals Mixing set and bag semantics

Author(s):  
Wilmer Ricciotti ◽  
James Cheney
Keyword(s):  
Author(s):  
Michele Conforti ◽  
Marco Di Summa ◽  
Laurence A. Wolsey
Keyword(s):  

1996 ◽  
Vol 43 (7) ◽  
pp. 1525-1533 ◽  
Author(s):  
A. KIESSLING, T. BAADE, and L. WENKE

2008 ◽  
Vol 36 (6) ◽  
pp. 726-733 ◽  
Author(s):  
M. Zhao ◽  
I.R. de Farias
Keyword(s):  

2015 ◽  
Vol 2015 (9) ◽  
Author(s):  
Giacomo Cacciapaglia ◽  
Aldo Deandrea ◽  
Naveen Gaur ◽  
Daisuke Harada ◽  
Yasuhiro Okada ◽  
...  
Keyword(s):  

1996 ◽  
Vol 43 (7) ◽  
pp. 1525-1533 ◽  
Author(s):  
A. Kiessling ◽  
T. Baade ◽  
L. Wenke

Author(s):  
Aastha Awasthi ◽  
Akanksha Singh ◽  
Istuti Agarwal ◽  
Arushi Sanjay

— The study of emotions is an important part of research in the excavation of literature. It involves removing ideas from articles such as reviews, news, blog posts, etc. and then classifying them as positive, negative or negative. The senses of English were studied but not much work was done for the Indian language. Studies were conducted in Hindi, Bengali, Marathi and Punjabi. Today, most communications are made on social media using the Hinglish language which is a combination of both Hindi and English. Hinglish is a native language that is very popular in India because people are more comfortable speaking their own language. This paper provides a new method for expressing the emotions of Hinglish (Hindi + English). Emotional analysis (SA) uses mixed data from the social media with many programs. Feedback from consumer satisfaction in evaluating social activity in multiple languages society. Progress in this area is hampered by a lack of relevant sequential data. We Introduces a Hi-En code-mixing set for sensitive information and satisfying performance. A comparative study of the feasibility and implementation of SA methods in social media. We also derive and describe Hinglish language. We examine this problem by using sets of lexicon, emotion, and form metadata to construct a classification that can vary between “positive”, “negative” and “neutral” feelings.


2012 ◽  
Vol 9 (4) ◽  
pp. 216-235 ◽  
Author(s):  
Sujeevraja Sanjeevi ◽  
Kiavash Kianfar
Keyword(s):  

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