KRISHNAKUMARI K

@avccengg.net

ASSOCIATE PROFESSOR and CSE
A.V.C.COLLEGE OF ENGINEERING

KRISHNAKUMARI K


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https://researchid.co/krishnavel
Dr. K. Krishnakumari, an Associate Professor with 20 years of academic experience, holds qualifications in B.E., M.E., M.B.A., and Ph.D. Her expertise lies in text mining, sentiment analysis, and automata theory. She has contributed significantly to academia with 16 international conference publications, 16 international journal papers, and 18 national journal papers. Dr. Krishnakumari has receive NPTEL discipline star and participated in various ATAL FDPs. She received funding from prestigious organizations like the Computer Society of India and TNSCST for her projects. Recognized with awards, she actively engages in various professional affiliations and serves in multiple roles within her institution and as a resource person in esteemed universities and colleges.

EDUCATION

B.E, M.E., Ph.D., Computer Science

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence
5

Scopus Publications

73

Scholar Citations

4

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Aspect-based summarisation in the big data environment
    K. Krishnakumari, E. Sivasankar
    International Journal of Advanced Intelligence Paradigms, 2023
    Due to the large amounts of information available, it is difficult for customers to select a superior product. With the large volume of information, it is difficult for customers to assess all of the reviews. Sentiment analysis plays an active role in extracting and identifying the opinion of the customer who purchased the product. Sentiment summarisation helps the customer to buy the best product based on its features and values. Our technique involves aspect-based sentiment analysis followed by summarisation. To handle large datasets, we propose a parallel approach using the Hadoop cluster to extract features and opinions. By referring to an online sentiment dictionary and interaction information (IIn) method, the sentiments are predicted and then summarised using clustering. After classifying each opinion word, our summarisation system generates a short summary of the product based on several features. This makes the customer feel comfortable and improves the competitive intelligence.
  • Automatic Facial Expression Recognition Employing CNN-Inception and the ResNet 50
    Krishnakumari K, Padmapriya S, Abirami N, Kanaghadhara N E, Arul P
    2023 IEEE International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2023, 2023
    The ability of computers to accurately determine the human state of mind can be improved with the help of the recognition of human facial expressions that reflect emotions. This will make it possible for workplace interactions to be more tailored to the individual. We will be able to recognize the emotions by paying attention to the placement of the brows and eyes, as well as the position of the mouth and the various changes that occur in the facial features. Using a deep learning Convolutional Neural Network (CNN)-INCEPTION and RESNET50 network model, we examine the recognition of human face expressions. The system utilizes a labeled data set that has around 32,298 photos with a variety of facial expressions. This data set is used for both training and testing purposes. A CNN model is trained using the dataset’s grayscale photos to categorize facial expressions into one of five categories: happy, sad, neutral, fearful, or furious. The use of batch normalization and dropout helps to increase the accuracy of the model while also preventing it from becoming overfit.
  • An enhanced sentiment dictionary for domain adaptation with multi-domain dataset in Tamil language (ESD-DA)
    E. Sivasankar, K. Krishnakumari, P. Balasubramanian
    Soft Computing, 2021
  • Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC)
    K. Krishnakumari, E. Sivasankar, Sam Radhakrishnan
    Soft Computing, 2020
  • Scalable aspect-based summarization in the hadoop environment
    Kalyanasundaram Krishnakumari, Elango Sivasankar
    Advances in Intelligent Systems and Computing, 2018

RECENT SCHOLAR PUBLICATIONS

  • Overview of the Shared Task on Sentiment Analysis in Tamil and Tulu
    HSK Thenmozhi Durairaj, Bharathi Raja Chakravarthi, Asha Hegde, Hosahalli ...
    Proceedings of the Fifth Workshop on Speech, Vision, and Language … , 2025
    2025
    Citations: 1
  • Empowering Vulnerable Communities with Multilingual Whispered Speech Recognition
    KV Krishnakumari
    National Conference on Innovative Technologies in Engineering and Research , 2024
    2024
  • Automatic Facial Expression Recognition Employing CNN-Inception and the ResNet 50
    P Krishnakumari, K., Padmapriya, S., Abirami, N., Kanaghadhara, N.E., Arul
    IEEE International Conference on Research Methodologies in Knowledge … , 2024
    2024
    Citations: 2
  • AN EMOTION RECOGNITION AND CONTROLLING SYSTEM AT WORKPLACE
    RM DR. S. PADMAPRIYA, DR. K. KRISHNAKUMARI, DR. J. SUDHA, DR. R. SUDHA
    IN Patent 581,608 , 2023
    2023
  • Aspect-based summarisation in the big data environment
    K Krishnakumari, E Sivasankar
    International Journal of Advanced Intelligence Paradigms 25 (1-2), 68-83 , 2023
    2023
    Citations: 2
  • Emotion Recognition Using Electroencephalography (EEG) Signals by deep learning Techniques
    DK KrishnaKumari K, A V, S N, S S, S V
    International journal of computer science trends and technology 1 (1), 116-121 , 2023
    2023
  • A Deep Learning Based Integrated Approach to Detect Abusive Language in Social Media Text And Memes
    Dr.K.Krishnakumari,Archana. B, Kesavarthini.C
    International journal of computer science trends and technology 1 (1), 59-65 , 2023
    2023
  • Design Smart System Of Night Vision Patrolling Robot Using Cloud Based Io T With Ai
    Dr.I.Sudha, Mr.V.Naveen, Dr.N.Partheeban, Dr.S.Padmapriya, Dr.K ...
    IN Patent 39/2,022 , 2022
    2022
  • Hate Speech Detection using Deep Learning Techniques
    K Krishnakumari
    International Virtual Conference on Innovative Research in Power and Energy … , 2022
    2022
  • An enhanced sentiment dictionary for domain adaptation with multi-domain dataset in Tamil language (ESD-DA)
    KKPB E. Sivasankar
    Soft Computing 25 (5), 3697-3711 , 2021
    2021
    Citations: 8
  • Automatic Emoji Lexicon Construction for Sentiment Analysis using Word Knowledge
    KK P.Akshaya
    International Research Journal of Engineering and Technology (IRJET) 7 (4 … , 2020
    2020
  • Automatic Emoji Lexicon Construction for Sentiment Analysis using Word Knowledge
    KK P.Akshaya
    International Research Journal of Engineering and Technology (IRJET) 7 (4 … , 2020
    2020
  • A SURVEY ON GRAPH BASED APPROACHES IN SENTIMENT ANALYSIS
    PA K.Krishnakumari
    International Research Journal of Engineering and Technology(IRJET) 6 (07 … , 2019
    2019
    Citations: 4
  • Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC)
    SR K Krishnakumari, E Sivasankar
    Soft Computing 24 (5), 3511-3527 , 2019
    2019
    Citations: 31
  • CROSS DOMAIN TEXT CLASSIFICATION USING LABELLED LDA METHOD
    MKK Lavanya R
    International Research Journal of Engineering and Management Studies (IRJEMS … , 2019
    2019
  • A CLUSTERING BASED DEEP HYPERGRAPH MODEL FOR SENTIMENT CLASSIFICATION
    MKK Abinaya V
    International Research Journal of Engineering and Management Studies (IRJEMS … , 2019
    2019
  • A Two-Level Aspect Categorization For Sentiment Classification Using Association Rule Mining And Deep Hyper Graphs
    MKK V.Abinaya
    SSRG International Journal of Computer Science and Engineering ( SSRG … , 2019
    2019
  • Semantic Image Retrieval using Spectral Hashing
    MK Krishnakumari K
    International Conference on Advanced Information and Communication Technology’18 , 2018
    2018
  • Fine-grained scene text image retrieval using multi-scale spatial partition (MSP) algorithm
    SA Krishnakumari K
    International Conference on Advanced Information and Communication Technology’18 , 2018
    2018
  • Scalable aspect-based summarization in the hadoop environment
    K Krishnakumari, E Sivasankar
    Big data analytics: Proceedings of CSI 2015, 439-449 , 2017
    2017
    Citations: 15

MOST CITED SCHOLAR PUBLICATIONS

  • Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC)
    SR K Krishnakumari, E Sivasankar
    Soft Computing 24 (5), 3511-3527 , 2019
    2019
    Citations: 31
  • Scalable aspect-based summarization in the hadoop environment
    K Krishnakumari, E Sivasankar
    Big data analytics: Proceedings of CSI 2015, 439-449 , 2017
    2017
    Citations: 15
  • Tamil English Language Sentiment Analysis System
    KK THILAGAVATHI R
    International Journal of Engineering Research & Technology (IJERT) 4 (16 … , 2016
    2016
    Citations: 10
  • An enhanced sentiment dictionary for domain adaptation with multi-domain dataset in Tamil language (ESD-DA)
    KKPB E. Sivasankar
    Soft Computing 25 (5), 3697-3711 , 2021
    2021
    Citations: 8
  • A SURVEY ON GRAPH BASED APPROACHES IN SENTIMENT ANALYSIS
    PA K.Krishnakumari
    International Research Journal of Engineering and Technology(IRJET) 6 (07 … , 2019
    2019
    Citations: 4
  • Automatic Facial Expression Recognition Employing CNN-Inception and the ResNet 50
    P Krishnakumari, K., Padmapriya, S., Abirami, N., Kanaghadhara, N.E., Arul
    IEEE International Conference on Research Methodologies in Knowledge … , 2024
    2024
    Citations: 2
  • Aspect-based summarisation in the big data environment
    K Krishnakumari, E Sivasankar
    International Journal of Advanced Intelligence Paradigms 25 (1-2), 68-83 , 2023
    2023
    Citations: 2
  • Overview of the Shared Task on Sentiment Analysis in Tamil and Tulu
    HSK Thenmozhi Durairaj, Bharathi Raja Chakravarthi, Asha Hegde, Hosahalli ...
    Proceedings of the Fifth Workshop on Speech, Vision, and Language … , 2025
    2025
    Citations: 1
  • Empowering Vulnerable Communities with Multilingual Whispered Speech Recognition
    KV Krishnakumari
    National Conference on Innovative Technologies in Engineering and Research , 2024
    2024
  • AN EMOTION RECOGNITION AND CONTROLLING SYSTEM AT WORKPLACE
    RM DR. S. PADMAPRIYA, DR. K. KRISHNAKUMARI, DR. J. SUDHA, DR. R. SUDHA
    IN Patent 581,608 , 2023
    2023
  • Emotion Recognition Using Electroencephalography (EEG) Signals by deep learning Techniques
    DK KrishnaKumari K, A V, S N, S S, S V
    International journal of computer science trends and technology 1 (1), 116-121 , 2023
    2023
  • A Deep Learning Based Integrated Approach to Detect Abusive Language in Social Media Text And Memes
    Dr.K.Krishnakumari,Archana. B, Kesavarthini.C
    International journal of computer science trends and technology 1 (1), 59-65 , 2023
    2023
  • Design Smart System Of Night Vision Patrolling Robot Using Cloud Based Io T With Ai
    Dr.I.Sudha, Mr.V.Naveen, Dr.N.Partheeban, Dr.S.Padmapriya, Dr.K ...
    IN Patent 39/2,022 , 2022
    2022
  • Hate Speech Detection using Deep Learning Techniques
    K Krishnakumari
    International Virtual Conference on Innovative Research in Power and Energy … , 2022
    2022
  • Automatic Emoji Lexicon Construction for Sentiment Analysis using Word Knowledge
    KK P.Akshaya
    International Research Journal of Engineering and Technology (IRJET) 7 (4 … , 2020
    2020
  • Automatic Emoji Lexicon Construction for Sentiment Analysis using Word Knowledge
    KK P.Akshaya
    International Research Journal of Engineering and Technology (IRJET) 7 (4 … , 2020
    2020
  • CROSS DOMAIN TEXT CLASSIFICATION USING LABELLED LDA METHOD
    MKK Lavanya R
    International Research Journal of Engineering and Management Studies (IRJEMS … , 2019
    2019
  • A CLUSTERING BASED DEEP HYPERGRAPH MODEL FOR SENTIMENT CLASSIFICATION
    MKK Abinaya V
    International Research Journal of Engineering and Management Studies (IRJEMS … , 2019
    2019
  • A Two-Level Aspect Categorization For Sentiment Classification Using Association Rule Mining And Deep Hyper Graphs
    MKK V.Abinaya
    SSRG International Journal of Computer Science and Engineering ( SSRG … , 2019
    2019
  • Semantic Image Retrieval using Spectral Hashing
    MK Krishnakumari K
    International Conference on Advanced Information and Communication Technology’18 , 2018
    2018

Publications

I REFEREED JOURNALS
1. E. Sivasankar, K. Krishnakumari, P. Balasubramanian (2021) An Enhanced Sentiment Dictionaryfor Domain Adaptation with multi-domain dataset in Tamil language (ESD-DA). Soft Computing (SCIE, IF: 3.643, pp:3697-3711) (DOI:.
2. K. Krishnakumari, E. Sivasankar, Sam Radhakrishnan (2020) Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC). Soft Computing (SCIE, IF: 3.643, pp:3511-3527) (DOI:.
3. Krishnakumari K., Sivasankar E.,(2018), Aspect based Summarization in the Big Data Environment, International Journal of Advanced Intelligence Paradigms (IJAIP), (SCOPUS Indexed IF: 0.8) InderScience Publishers (Article in Press) (DOI: 10.1504/
4. Thilagavathi, R., & Krishnakumari, K. (2016). Tamil english language sentiment analysis system. International Journal of Engineering Research and Technology, 4, 114-118.

II CONFERENCES
1. K. Krishnakumari, E. Sivasankar (2018) Scalable Aspect-Based Summarization in the Hadoop Environment. In: Aggarwal V., Bhatnagar V., Mishra D. (eds) Big Data Analytics. Advances in Intelligent Systems and Computing, vol 654. Springer, Singapore, 439-449.
2. K. Krishnakumari, E. Sivasankar (2017) A Deep Learning approach for Sentiment Analysis using Convolution Neural Networks, International Conference on National Development through Innovations in Management, Science