Mohammad Darwich

About Mohammad Darwich

Mohammad Darwich, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Universiti Kebangsaan Malaysia, specializes in the field of Sentiment Analysis, Emotion Recognition, Natural Language Processing, Text Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adaption of distance learning to continue the academic year amid COVID-19 lockdown

Integrating contextual sentiment analysis in collaborative recommender systems

The role of information & communication technology in elearning environments: a systematic review

Sequel movie revenue prediction model based on sentiment analysis

Deriving the sentiment polarity of term senses using dual-step context-aware in-gloss matching

Quantifying the natural sentiment strength of polar term senses using semantic gloss information and degree adverbs

Beyond sentiment classification: A novel approach for utilizing social media data for business intelligence

Mohammad Darwich Information

University

Position

The (UKM)

Citations(all)

310

Citations(since 2020)

301

Cited By

46

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Mohammad Darwich Skills & Research Interests

Sentiment Analysis

Emotion Recognition

Natural Language Processing

Text Mining

Top articles of Mohammad Darwich

Adaption of distance learning to continue the academic year amid COVID-19 lockdown

Children and Youth Services Review

2021/7/1

Integrating contextual sentiment analysis in collaborative recommender systems

Plos one

2021/3/22

The role of information & communication technology in elearning environments: a systematic review

Computers and electronics in agriculture

2013/10/1

Sequel movie revenue prediction model based on sentiment analysis

Data Technologies and Applications

2020/11/2

Mohd Ridzwan Yaakub
Mohd Ridzwan Yaakub

H-Index: 8

Mohammad Darwich
Mohammad Darwich

H-Index: 4

Deriving the sentiment polarity of term senses using dual-step context-aware in-gloss matching

Information Processing & Management

2020/11/1

Quantifying the natural sentiment strength of polar term senses using semantic gloss information and degree adverbs

Journal of Advances in Information Technology Vol

2020/8

Beyond sentiment classification: A novel approach for utilizing social media data for business intelligence

International Journal of Advanced Computer Science and Applications(IJACSA)

2020/4

Mohd Ridzwan Yaakub
Mohd Ridzwan Yaakub

H-Index: 8

Mohammad Darwich
Mohammad Darwich

H-Index: 4

See List of Professors in Mohammad Darwich University(Universiti Kebangsaan Malaysia)

Co-Authors

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