Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Kangavari, Mohammad"'
Topic detection is a complex process and depends on language because it somehow needs to analyze text. There have been few studies on topic detection in Persian, and the existing algorithms are not remarkable. Therefore, we aimed to study topic detec
Externí odkaz:
http://arxiv.org/abs/2403.10237
Publikováno v:
In Cognitive Systems Research December 2024 88
This paper is a comparison study in the context of Topic Detection on COVID-19 data. There are various approaches for Topic Detection, among which the Clustering approach is selected in this paper. Clustering requires distance and calculating distanc
Externí odkaz:
http://arxiv.org/abs/2111.08658
Autor:
Rahmani, Sana, Hosseini, Saeid, Zall, Raziyeh, Kangavari, Mohammad Reza, Kamran, Sara, Hua, Wen
Multimodal sentiment analysis benefits various applications such as human-computer interaction and recommendation systems. It aims to infer the users' bipolar ideas using visual, textual, and acoustic signals. Although researchers affirm the associat
Externí odkaz:
http://arxiv.org/abs/2106.14174
Leveraging short-text contents to estimate the occupation of microblog authors has significant gains in many applications. Yet challenges abound. Firstly brief textual contents come with excessive lexical noise that makes the inference problem challe
Externí odkaz:
http://arxiv.org/abs/2106.07363
Autor:
Kamran, Sara, Zall, Raziyeh, Kangavari, Mohammad Reza, Hosseini, Saeid, Rahmani, Sana, Hua, Wen
The latent knowledge in the emotions and the opinions of the individuals that are manifested via social networks are crucial to numerous applications including social management, dynamical processes, and public security. Affective computing, as an in
Externí odkaz:
http://arxiv.org/abs/2106.01706
Autor:
Sailawi, Ali S. Abed Al1,2 (AUTHOR) a_alsailawi@cmps2.iust.ac.ir, Kangavari, Mohammad Reza1 (AUTHOR) kangavari@iust.ac.ir
Publikováno v:
AIMS Public Health. 2024, Vol. 11 Issue 2, p1-30. 30p.
Linking authors of short-text contents has important usages in many applications, including Named Entity Recognition (NER) and human community detection. However, certain challenges lie ahead. Firstly, the input short-text contents are noisy, ambiguo
Externí odkaz:
http://arxiv.org/abs/1910.12180
Autor:
Hosseini, Saeid, Najafipour, Saeed, Cheung, Ngai-Man, Yin, Hongzhi, Kangavari, Mohammad Reza, Zhou, Xiaofang
Contagions (e.g. virus, gossip) spread over the nodes in propagation graphs. We can use the temporal and textual data of the nodes to compute the edge weights and then generate subgraphs with highly relevant nodes. This is beneficial to many applicat
Externí odkaz:
http://arxiv.org/abs/1907.03191
The Gene or DNA sequence in every cell does not control genetic properties on its own; Rather, this is done through translation of DNA into protein and subsequent formation of a certain 3D structure. The biological function of a protein is tightly co
Externí odkaz:
http://arxiv.org/abs/1806.06394