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Manju Venugopalan
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2020 – today
- 2024
[c17]S. Jaya Amruth, T. M. Nigelesh, V. Sai Shruthik, Valluru Sateesh Reddy, Manju Venugopalan:
Time-Series-Based Stock Market Analysis using Machine Learning. ICCCNT 2024: 1-7
[c16]M. Sree Deepika, N. Sri Lekhya Subramanyam, P. Shiva Pranav, Pulaputhuru Subramanyam Reddy, Manju Venugopalan:
News Topic Categorization on Telugu Dataset Using Deep Learning Models. ICCCNT 2024: 1-6
[c15]Shanmukha Aditya G, Ananya Aggarwal, Karan S, Deepa Gupta, Suja Palaniswamy, Manju Venugopalan:
Multifaceted Cyberbullying Detection using Deep Learning Architectures and Semantic Embeddings in Social Media Discourse. ICCCNT 2024: 1-6
[c14]Ishvarya G, Kavya Sree Kammari, Sharanya Vanraj Thambi, Manju Venugopalan:
Enhanced Classification of Exoplanets Using Machine Learning: Integrating Feature Selection, Ensemble Algorithms, and Explainable AI Insights. ICCCNT 2024: 1-7
[c13]R. Hemanth Kumar, B. Vishnu Prasad, Himanshu Yadav, Manju Venugopalan:
Rainfall Prediction Enhancement Using SMOTE and Machine Learning Algorithms. ICCCNT 2024: 1-6
[c12]Devika Madhusoodanan, R. Vismaya, Hridyalakshmi Santhosh, Manju Venugopalan:
A Comprehensive Comparison of Machine Learning Techniques for Heart Disease Prediction. ICCCNT 2024: 1-7
[c11]Sri Chakradhar Nossam, Rishi Anirudh Katakam, Gopa Pulastya, Manju Venugopalan:
Enhanced Crop Yield Prediction using Machine Learning Techniques. ICCCNT 2024: 1-6
[c10]Pennabadi Devendra Reddy, K. Satya Sampath Reddy, P. Gnaneswarachary, P. Lakshmikanth Reddy, Manju Venugopalan, Susmitha Vekkot, Priyanka C. Nair
:
Enhancing Content Based Collaborative Filtering Recommendations Using Weighted Word Embeddings. ICCCNT 2024: 1-7
[c9]Majji Nitin Sai, Neelam Leeladhar Royal, Narayana Chakravarthi, Nagavarapu Siva Sai, Deepa Gupta, Manju Venugopalan:
Automatic Topic Identification in Destination Reviews Using Hybrid Topic Modelling Techniques. ICCCNT 2024: 1-8
[c8]Mohammad Aman Sohel, Raghupatruni Sai Madhukar, Puneeth Kumar Oyyavuru, Sriramoju Rahul, Manju Venugopalan:
A Hybrid Deep Learning Model For Emotion Recognition For Discrete Speech. ICCCNT 2024: 1-6
[c7]B. Umah, Deepa Gupta, Manju Venugopalan:
Investigating Fake Job Descriptions with TF-IDF and Word Embeddings. ICCCNT 2024: 1-6- 2023
[c6]Agashini V. Kumar, Deepa Gupta, Manju Venugopalan:
Cyberbullying Text Classification for Social Media Data Using Embedding And Deep Learning Approaches. ICCCNT 2023: 1-6
[c5]Paliwal Mohan Subhash, Deepa Gupta, Suja Palaniswamy, Manju Venugopalan:
Fake News Detection Using Deep Learning and Transformer-Based Model. ICCCNT 2023: 1-6- 2022
[j3]Manju Venugopalan, Deepa Gupta:
A reinforced active learning approach for optimal sampling in aspect term extraction for sentiment analysis. Expert Syst. Appl. 209: 118228 (2022)
[j2]Manju Venugopalan, Deepa Gupta
:
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis. Knowl. Based Syst. 246: 108668 (2022)- 2021
[j1]Chinmayee Ojha, Manju Venugopalan, Deepa Gupta:
A rule based approach for aspect extraction in hindi reviews. J. Intell. Fuzzy Syst. 41(5): 5477-5485 (2021)
2010 – 2019
- 2019
[c4]Manju Venugopalan, Deepa Gupta, Vartika Bhatia:
A Supervised Approach to Aspect Term Extraction Using Minimal Robust Features for Sentiment Analysis. ICACIE (2) 2019: 237-251- 2018
[c3]Vandanapu Kasi Viswanath
, Chandu Gayathri Venu Madhuri, Chamarthi Raviteja, S. Saravanan, Manju Venugopalan:
Hadoop and Natural Language Processing Based Analysis on Kisan Call Center (KCC) Data. ICACCI 2018: 1142-1151- 2015
[c2]Manju Venugopalan
, Deepa Gupta
:
Exploring sentiment analysis on twitter data. IC3 2015: 241-247
[c1]Manju Venugopalan
, Deepa Gupta
:
Sentiment Classification for Hindi Tweets in a Constrained Environment Augmented Using Tweet Specific Features. MIKE 2015: 664-670
Coauthor Index

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