Aditi Sharan

According to our database, Aditi Sharan authored at least 37 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MuCon: Multi-channel convolution for targeted sentiment classification.

Sharad Verma, Ashish Kumar, Aditi Sharan

Multim. Tools Appl., March, 2024

2023

IAN-BERT: Combining Post-trained BERT with Interactive Attention Network for Aspect-Based Sentiment Analysis.

Sharad Verma, Ashish Kumar, Aditi Sharan

SN Comput. Sci., November, 2023

2022

ATP: A holistic attention integrated approach to enhance ABSA.

Ashish Kumar, Vasundhra Dahiya, Aditi Sharan

CoRR, 2022

2021

Ontology based knowledge representation: Case study from agriculture domain.

Nidhi Malik, Deena Hijam, Aditi Sharan

Int. J. Knowl. Based Intell. Eng. Syst., 2021

ATE-SPD: simultaneous extraction of aspect-term and aspect sentiment polarity using Bi-LSTM-CRF neural network.

Ashish Kumar, Sharad Verma, Aditi Sharan

J. Exp. Theor. Artif. Intell., 2021

2020

A Graph-Based Approach for Aspect Extraction from Online Customer Reviews.

Rakesh Kumar, Aditi Sharan

J. Digit. Inf. Manag., 2020

Aspect category detection using statistical and semantic association.

Ashish Kumar, Mayank Saini, Aditi Sharan

Comput. Intell., 2020

2019

Context Pattern Based Agricultural Named Entity Recognition.

Payal Biswas, Aditi Sharan, Ashish Kumar

Res. Comput. Sci., 2019

An intelligent clustering approach for improving search result of a website.

Shashi Mehrotra, Shruti Kohli, Aditi Sharan

Int. J. Adv. Intell. Paradigms, 2019

Unsupervised genetic programming based linkage rule (UGPLR) Miner for entity linking in semantic web.

Amit Singh, Aditi Sharan

Evol. Intell., 2019

Sentiment Analysis of Financial News Using Unsupervised and Supervised Approach.

Anita Yadav, C. K. Jha, Aditi Sharan, Vikrant Vaish

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018

Rank fusion and semantic genetic notion based automatic query expansion model.

Jagendra Singh, Aditi Sharan

Swarm Evol. Comput., 2018

A New LSA and Entropy-Based Approach for Automatic Text Document Summarization.

Chandra Shakhar Yadav, Aditi Sharan

Int. J. Semantic Web Inf. Syst., 2018

Genetic-Fuzzy Programming Based Linkage Rule Miner (GFPLR-Miner) for Entity Linking in Semantic Web.

Amit Singh, Aditi Sharan

Int. J. Semantic Web Inf. Syst., 2018

Automatic Text Document Summarization Using Graph Based Centrality Measures on Lexical Network.

Chandra Shakhar Yadav, Aditi Sharan

Int. J. Inf. Retr. Res., 2018

To identify the usage of clustering techniques for improving search result of a website.

Shashi Mehrotra, Shruti Kohli, Aditi Sharan

Int. J. Data Min. Model. Manag., 2018

Sentiment Classification on Twitter Data Using Support Vector Machine.

Sheeba Naz, Aditi Sharan, Nidhi Malik

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

2017

A new fuzzy logic-based query expansion model for efficient information retrieval using relevance feedback approach.

Jagendra Singh, Aditi Sharan

Neural Comput. Appl., 2017

Term co-occurrence and context window-based combined approach for query expansion with the semantic notion of terms.

Jagendra Singh, Aditi Sharan, Mayank Saini

Int. J. Web Sci., 2017

Deep sequential model for review rating prediction.

Sharad Verma, Mayank Saini, Aditi Sharan

Proceedings of the Tenth International Conference on Contemporary Computing, 2017

2016

Semantic Web Oriented framework for Knowledge Management in Agriculture Domain.

Nidhi Malik, Aditi Sharan

Int. J. Web Appl., 2016

An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation.

Hanuman Verma, R. K. Agrawal, Aditi Sharan

Appl. Soft Comput., 2016

2015

Hybrid Approach for Single Text Document Summarization Using Statistical and Sentiment Features.

Chandra Shekhar Yadav, Aditi Sharan

Int. J. Inf. Retr. Res., 2015

Context Window Based Co-occurrence Approach for Improving Feedback Based Query Expansion in Information Retrieval.

Jagendra Singh, Aditi Sharan

Int. J. Inf. Retr. Res., 2015

Relevance Feedback Based Query Expansion Model Using Borda Count and Semantic Similarity Approach.

Jagendra Singh, Aditi Sharan

Comput. Intell. Neurosci., 2015

Co-occurrence and Semantic Similarity Based Hybrid Approach for Improving Automatic Query Expansion in Information Retrieval.

Jagendra Singh, Aditi Sharan

Proceedings of the Distributed Computing and Internet Technology, 2015

2014

Fuzzy Logic Based Similarity Measure for Information Retrieval System Performance Improvement.

Yogesh Gupta, Ashish Saini, A. K. Saxena, Aditi Sharan

Proceedings of the Distributed Computing and Internet Technology, 2014

A supervised approach to distinguish between keywords and stopwords using probability distribution functions.

Aditi Sharan, Sifatullah Siddiqi

Proceedings of the 2014 International Conference on Advances in Computing, 2014

Question Classification using syntactic and rule based approach.

Payal Biswas, Aditi Sharan, Rakesh Kumar

Proceedings of the 2014 International Conference on Advances in Computing, 2014

2013

Lexical Ontology-Based Computational Model to Find Semantic Similarity.

Jagendra Singh, Aditi Sharan

Proceedings of the Intelligent Computing, 2013

2010

An insight into semantic similarity aspects using WordNet.

Aditi Sharan, Manju Lata Joshi

Int. J. Inf. Commun. Technol., 2010

An algorithm for finding document concepts using semantic similarities from WordNet ontology.

Aditi Sharan, Manju Lata Joshi

Int. J. Comput. Vis. Robotics, 2010

Selecting Effective Expansion Terms for Better Information Retrieval.

Hazra Imran, Aditi Sharan

Int. J. Comput. Sci. Appl., 2010

A Framework for Automatic Query Expansion.

Hazra Imran, Aditi Sharan

Proceedings of the Web Information Systems and Mining - International Conference, 2010

Improving Effectiveness of Query Expansion Using Information Theoretic Approach.

Hazra Imran, Aditi Sharan

Proceedings of the Trends in Applied Intelligent Systems, 2010

Co-occurrence based predictors for estimating query difficulty.

Hazra Imran, Aditi Sharan

Proceedings of the ICDMW 2010, 2010

2008

A Trainable Document Summarizer Using Bayesian Classifier Approach.

Aditi Sharan, Hazra Imran, Manju Lata Joshi

Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008