Sagarika Pattnaik

ORCID: 0000-0003-0664-4520
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About
Contact & Profiles
Research Areas
  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Child Abuse and Trauma
  • Multimodal Machine Learning Applications
  • Sentiment Analysis and Opinion Mining
  • Intimate Partner and Family Violence
  • Luminescence Properties of Advanced Materials
  • Microwave Dielectric Ceramics Synthesis
  • Zeolite Catalysis and Synthesis
  • Child and Adolescent Psychosocial and Emotional Development
  • Semantic Web and Ontologies
  • Speech Recognition and Synthesis

Siksha O Anusandhan University
2019-2022

Berhampur University
1994

Automatic text summarization a subfield of Natural Language Processing (NLP) aims at producing precise and non redundant aided by machine learning techniques. Using varied methods, especially techniques has enhanced its performance from different perspectives. The proposed work efficiently utilizes hierarchical clustering using cosine similarity measure for segregating sentences. model adopts an extractive method summarizing Odia document. It focuses on minimizing redundancy achieves it...

10.1109/icaml48257.2019.00035 article EN 2019-05-01

The present scenario witnesses an exponential growth in the research field pertaining to text mining and automatic summarization is a relevant topic.Varied methods this regard have been developed for English other European languages, but Odia language maintains nascent status.The complexity highly inflective property of restrict existing models being directly applied on it.This paper proposes effective extractive single document summarizer document.Both statistical clustering are their...

10.21817/indjcse/2020/v11i6/201106132 article EN Indian Journal of Computer Science and Engineering 2020-12-20

POS (Parts of Speech) tagging, a vital step in diverse Natural Language Processing (NLP) tasks has not drawn much attention case Odia computationally under-developed language. The proposed hybrid method suggests robust tagger for Odia. Observing the rich morphology language and unavailability sufficient annotated text corpus combination machine learning linguistic rules is adopted building tagger. trained on tagged from domain tourism capable obtaining perceptible improvement result. Also an...

10.4018/ijdsst.286690 article EN International Journal of Decision Support System Technology 2021-11-08

Child abuse in one form or other, has manifested almost all societies. But the recognition of child as a social problem is recent phenomenon Inaia and therefore, research still its infancy. Present paper reviews abuses India under areas different forms abuse, marital issues involved, parent interactions, psychological characteristics trends associated with abused children remedial measures. The concludes an emphasis on need for empirical data extent nature Indian families. effects various...

10.1080/0300443941040107 article EN Early Child Development and Care 1994-01-01
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