Aakanksha Sharaff

Aakanksha Sharaff has completed her graduation in Computer Science and Engineering in 2010 from Government Engineering College, Bilaspur (C.G.). She has completed her post graduation Master of Technology in 2012 in Computer Science & Engineering (Specialization- Software Engineering) from National Institute of Technology, Rourkela and completed Ph.D. degree in Computer Science & Engineering in 2017 from National Institute of Technology Raipur, India. Her area of interest is Software Engineering, Data Mining, Text Mining and Information Retrieval. She is currently working as an Assistant Professor at NIT Raipur India.

Publications

A Hybridized GA-Based Feature Selection for Text Sentiment Analysis
A Hybridized GA-Based Feature Selection for Text Sentiment Analysis
Gyananjaya Tripathy, Aakanksha Sharaff. © 2023. 13 pages.
Recent research work has described the effectiveness of various sentiment classification techniques ranging from simple lexicon-based methods to more complex machine learning...
Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique
Statistical Growth Analysis of Rice Plants in Chhattisgarh Region Using Automated Pixel-Based Mapping Technique
Bharati Patel, Aakanksha Sharaff, Satish Verulkar. © 2022. 20 pages.
The statistical growth analysis of field crop has become a great challenge in agriculture. Analyzing the growth of crop through automation provides extensive significance to the...
Deep Learning Based Sentiment Analysis for Phishing SMS Detection
Deep Learning Based Sentiment Analysis for Phishing SMS Detection
Aakanksha Sharaff, Ramya Allenki, Rakhi Seth. © 2022. 28 pages.
Sentiment analysis works on the principle of categorizing and identifying the text-based content and the process of classifying documents into one of the predefined classes...
New Opportunities for Sentiment Analysis and Information Processing
New Opportunities for Sentiment Analysis and Information Processing
Aakanksha Sharaff, G. R. Sinha, Surbhi Bhatia. © 2021. 311 pages.
Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of digital...
Rice Crop Disease Prediction Using Machine Learning Technique
Rice Crop Disease Prediction Using Machine Learning Technique
Bharati Patel, Aakanksha Sharaff. © 2021. 15 pages.
Crop yields are affected at large scale due to spread of unchecked diseases. The spread of these diseases is similar to the spreading of cancer in human body. But, unlike cancer...
Prospecting the Effect of Topic Modeling in Information Retrieval
Prospecting the Effect of Topic Modeling in Information Retrieval
Aakanksha Sharaff, Jitesh Kumar Dewangan, Dilip Singh Sisodia. © 2021. 17 pages.
Enormous records and data are gathered every day. Organization of this data is a challenging task. Topic modeling provides a way to categorize these documents, where high...
Deep Learning Based Sentiment Analysis for Phishing SMS Detection
Deep Learning Based Sentiment Analysis for Phishing SMS Detection
Aakanksha Sharaff, Ramya Allenki, Rakhi Seth. © 2021. 28 pages.
Sentiment analysis works on the principle of categorizing and identifying the text-based content and the process of classifying documents into one of the predefined classes...
Biomedical Text Summarization Based on the Itemset Mining Approach
Biomedical Text Summarization Based on the Itemset Mining Approach
Supriya Gupta, Aakanksha Sharaff, Naresh Kumar Nagwani. © 2021. 13 pages.
The expanding amount of text-based biomedical information has prompted mining valuable or intriguing frequent patterns (words/terms) from extremely massive content, which is...
ML-EC2: An Algorithm for Multi-Label Email Classification Using Clustering
ML-EC2: An Algorithm for Multi-Label Email Classification Using Clustering
Aakanksha Sharaff, Naresh Kumar Nagwani. © 2020. 15 pages.
A multi-label variant of email classification named ML-EC2 (multi-label email classification using clustering) has been proposed in this work. ML-EC2 is a hybrid algorithm based...