Dr. Azizkhan F Pathan

@jitd.in

Associate Professor, Department of CS&E
Jain Institute of Technology

Dr. Azizkhan F Pathan


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https://researchid.co/apathan21

EDUCATION

B.E., M.Tech., Ph.D.

RESEARCH INTERESTS

Machine Learning, Deep Learning, Natural Language Processing, Data Mining
3

Scopus Publications

99

Scholar Citations

4

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • A comprehensive survey exploring the application of machine learning algorithms in the detection of land degradation
    Gangamma Hediyalad, K Ashoka, Govardhan Hegade, Pratibha Ganapati Gaonkar, Azizkhan F Pathan, Pratibhaa R Malagatti
    Journal of Degraded and Mining Lands Management, 2024
    Early and reliable detection of land degradation helps policymakers to take strict action in more vulnerable areas by making strong rules and regulations in order to achieve sustainable land management and conservation. The detection of land degradation is carried out to identify desertification processes using machine learning techniques in different geographical locations, which are always a challenging issue in the global field. Due to the significance of the detection of land degradation, this article provides an exhaustive review of the detection of land degradation using machine learning algorithms. Initially, the current status of land degradation in India is presented, along with a brief discussion on the overview of widely used factors, evaluation parameters, and algorithms used. Consequently, merits and demerits related to machine learning-based land degradation identification are presented. Additionally, solutions are prescribed in order to reduce existing problems in the detection of land degradation. Since one of the major objectives is to explore the future perspectives of machine learning-based land degradation detection, areas including the application of remote sensing, mapping, optimum features, and algorithms have been broadly discussed. Finally, based on a critical evaluation of existing related studies, the architecture of the machine learning-based desertification process has been proposed. This technology can fulfill the research challenges in the detection of land degradation and computation difficulties in the development of models for the detection of land degradation.
  • Attention-based position-aware framework for aspect-based opinion mining using bidirectional long short-term memory
    Azizkhan F Pathan, Chetana Prakash
    Journal of King Saud University Computer and Information Sciences, 2022
    Aspect-based Opinion Mining is a form of fine-grained Sentiment Analysis and it models the semasiological relationship between aspect terms and context words in a sentence. The presence of a variety of context words has a significant impact on a sentence's sentiment polarity. As a result, while designing a model, it is necessary to consider the interaction of aspects and context words. Although existing approaches have taken into account an aspect’s position in a sentence, much of the research works have not explored the use of Sentiment Lexicons with the Deep Learning algorithms. In this paper, we propose a framework for an Attention-based position-aware Bidirectional Long Short-Term Memory network for Aspect-based Opinion Mining that incorporates a Sentiment Intensity Lexicon. The aspect word’s pre-trained vector is adjusted to be closer to semantically and sentimentally similar nearest neighbors and further away from sentimentally dissimilar neighbors. The proposed framework calculates aspect weights by concatenating the external knowledge in the form of lexicon sentiment intensity scores with word embeddings and position information. The framework experiments on the SemEval 2014 dataset. The results of the experiments illustrate that injecting external knowledge into the Bidirectional Long Short-Term Memory network can improve classification accuracy significantly.
  • Cross-Domain Aspect Detection and Categorization using Machine Learning for Aspect-based Opinion Mining
    Azizkhan F Pathan, Chetana Prakash
    International Journal of Information Management Data Insights, 2022
    There is an increase in the development of social media and electronic commerce sites day by day. In order to express their opinions about the products purchased user's write comments, messages and reviews. The reviews present in the e-commerce sites are also increasing. Users find difficulty in getting appropriate information about the right topic from this large data. Aspect-based Opinion Mining (ABOM) helps users in this regard. In many real-world applications ABOM is used to get the details about the aspects of entities, where the opinion is expressed for those aspects and entities. One of the key elements of ABOM is Aspect extraction. Unsupervised Machine Learning approach has been used to extract aspects from the reviews as it does not require pre-labelled data. In this regard Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA) are two most commonly used unsupervised Topic Modeling approaches. The topics are extracted from three different datasets such as Amazon Mobile Reviews, Hotel Reviews and IMDb Movie Reviews using LDA and LSA algorithms. These extracted topics are aspects of our interest. The results of topic modeling algorithms are quite difficult to be interpreted by the common user. The different visualization methods are used to display the results of topic modeling algorithms in an interactive way. Two different multi-class classifiers such as Multinomial Naive Bayes (MNB) and Support Vector Machine (SVM) have been constructed for aspect categorization. These classifiers are evaluated by considering the evaluation measures such as Precision, Recall and F1 score. As a result, SVM classifier has good performance than MNB classifier for aspect categorization task of aspect-based opinion mining.

RECENT SCHOLAR PUBLICATIONS

  • 5 Opinion mining using deep learning for E-commerce industries
    AF Pathan, C Prakash, M Kumar
    Industry 5.0: A New Revolution Through Human-Centric Solution 17, 69 , 2025
    2025.0
  • Parsing Unstructured Healthcare Data Using Regular Expressions
    NP KM, AF Pathan, MK TS, MB SB
    International Research Journal on Advanced Engineering Hub (IRJAEH) 2 (07 … , 2024
    2024.0
  • A comprehensive survey exploring the application of machine learning algorithms in the detection of land degradation
    G Hediyalad, K Ashoka, G Hegade, PG Gaonkar, AF Pathan, PR Malagatti
    Journal of Degraded and Mining Lands Management 11 (4), 6471-6488 , 2024
    2024.0
    Citations: 1
  • Emoji-based Opinion Mining using Deep Learning Techniques
    AF Pathan, C Prakash
    2022.0
  • Cross-domain aspect detection and categorization using machine learning for aspect-based opinion mining
    AF Pathan, C Prakash
    International Journal of Information Management Data Insights 2 (2), 100099 , 2022
    2022.0
    Citations: 25
  • Attention-based position-aware framework for aspect-based opinion mining using bidirectional long short-term memory
    AF Pathan, C Prakash
    Journal of King Saud University-Computer and Information Sciences 34 (10 … , 2022
    2022.0
    Citations: 17
  • Machine Learning for Parkinson's Disease Prediction
    AF Pathan, M Muskan, K Pooja, BM Manu, BH Shreya
    Int. J. Eng. Res. Technol.(Ahmedabad) 10 (11) , 2022
    2022.0
    Citations: 4
  • Unsupervised aspect extraction algorithm for opinion mining using topic modeling
    AF Pathan, C Prakash
    Global Transitions Proceedings 2 (2), 492-499 , 2021
    2021.0
    Citations: 40
  • Unsupervised aspect extraction algorithm for opinion mining using topic modeling. Global Transitions Proceedings, 2 (2): 492–499
    AF Pathan, C Prakash
    International Conference on Computing System and its Applications (ICCSA-2021) , 2021
    2021.0
    Citations: 3
  • Big Data Mining from Social Networking Services using Spectral Clustering Algorithm
    DCP Azizkhan F Pathan
    International Journal of Innovative Research in Computer and Communication … , 2017
    2017.0
  • Simulation of Load Balancing Algorithms using Cloud Analyst
    SN Azizkhan F Pathan
    International Journal of Engineering Research & Technology 2 (13) , 2014
    2014.0
  • A load balancing model based on cloud partitioning for the public cloud
    AF Pathan, SB Mallikarjuna
    International journal of information and computation technology 4 (16) , 2014
    2014.0
    Citations: 9
  • Secure Mobile Data Offloading Model Using Cloud Computing
    AF Pathan

MOST CITED SCHOLAR PUBLICATIONS

  • Unsupervised aspect extraction algorithm for opinion mining using topic modeling
    AF Pathan, C Prakash
    Global Transitions Proceedings 2 (2), 492-499 , 2021
    2021.0
    Citations: 40
  • Cross-domain aspect detection and categorization using machine learning for aspect-based opinion mining
    AF Pathan, C Prakash
    International Journal of Information Management Data Insights 2 (2), 100099 , 2022
    2022.0
    Citations: 25
  • Attention-based position-aware framework for aspect-based opinion mining using bidirectional long short-term memory
    AF Pathan, C Prakash
    Journal of King Saud University-Computer and Information Sciences 34 (10 … , 2022
    2022.0
    Citations: 17
  • A load balancing model based on cloud partitioning for the public cloud
    AF Pathan, SB Mallikarjuna
    International journal of information and computation technology 4 (16) , 2014
    2014.0
    Citations: 9
  • Machine Learning for Parkinson's Disease Prediction
    AF Pathan, M Muskan, K Pooja, BM Manu, BH Shreya
    Int. J. Eng. Res. Technol.(Ahmedabad) 10 (11) , 2022
    2022.0
    Citations: 4
  • Unsupervised aspect extraction algorithm for opinion mining using topic modeling. Global Transitions Proceedings, 2 (2): 492–499
    AF Pathan, C Prakash
    International Conference on Computing System and its Applications (ICCSA-2021) , 2021
    2021.0
    Citations: 3
  • A comprehensive survey exploring the application of machine learning algorithms in the detection of land degradation
    G Hediyalad, K Ashoka, G Hegade, PG Gaonkar, AF Pathan, PR Malagatti
    Journal of Degraded and Mining Lands Management 11 (4), 6471-6488 , 2024
    2024.0
    Citations: 1
  • 5 Opinion mining using deep learning for E-commerce industries
    AF Pathan, C Prakash, M Kumar
    Industry 5.0: A New Revolution Through Human-Centric Solution 17, 69 , 2025
    2025.0
  • Parsing Unstructured Healthcare Data Using Regular Expressions
    NP KM, AF Pathan, MK TS, MB SB
    International Research Journal on Advanced Engineering Hub (IRJAEH) 2 (07 … , 2024
    2024.0
  • Emoji-based Opinion Mining using Deep Learning Techniques
    AF Pathan, C Prakash
    2022.0
  • Big Data Mining from Social Networking Services using Spectral Clustering Algorithm
    DCP Azizkhan F Pathan
    International Journal of Innovative Research in Computer and Communication … , 2017
    2017.0
  • Simulation of Load Balancing Algorithms using Cloud Analyst
    SN Azizkhan F Pathan
    International Journal of Engineering Research & Technology 2 (13) , 2014
    2014.0
  • Secure Mobile Data Offloading Model Using Cloud Computing
    AF Pathan