Search Results for author: Mohsinul Kabir

Found 6 papers, 3 papers with code

Math Word Problem Solving by Generating Linguistic Variants of Problem Statements

1 code implementation24 Jun 2023 Syed Rifat Raiyan, Md. Nafis Faiyaz, Shah Md. Jawad Kabir, Mohsinul Kabir, Hasan Mahmud, Md Kamrul Hasan

In order to ameliorate this issue, in this paper, we propose a framework for MWP solvers based on the generation of linguistic variants of the problem text.

Decoder Math +1

BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews

1 code implementation11 May 2023 Mohsinul Kabir, Obayed Bin Mahfuz, Syed Rifat Raiyan, Hasan Mahmud, Md Kamrul Hasan

The analysis of consumer sentiment, as expressed through reviews, can provide a wealth of insight regarding the quality of a product.

Sentiment Analysis

"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruity

no code implementations6 May 2023 Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, Mohsinul Kabir, Hasan Mahmud, Kamrul Hasan

We divide the generation task into two sub tasks: one for generating textual sarcasm and another for collecting emojis associated with those sarcastic sentences.

General Knowledge Sentence

DEPTWEET: A Typology for Social Media Texts to Detect Depression Severities

1 code implementation10 Oct 2022 Mohsinul Kabir, Tasnim Ahmed, Md. Bakhtiar Hasan, Md Tahmid Rahman Laskar, Tarun Kumar Joarder, Hasan Mahmud, Kamrul Hasan

Mental health research through data-driven methods has been hindered by a lack of standard typology and scarcity of adequate data.

Computational Sarcasm Analysis on Social Media: A Systematic Review

no code implementations13 Sep 2022 Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, Mohsinul Kabir, Hasan Mahmud, Kamrul Hasan

Sarcasm can be defined as saying or writing the opposite of what one truly wants to express, usually to insult, irritate, or amuse someone.

Sarcasm Detection Sentiment Analysis

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