Jatinderkumar R. Saini

Jatinderkumar R. Saini
Symbiosis Institute of Computer Studies and Research | SICSR

PhD (Comp. Sci.), MCA [Gold Medal], BSc (Comp. Sci.) [Silver Medal]

About

214
Publications
120,550
Reads
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1,182
Citations
Citations since 2016
121 Research Items
1039 Citations
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Introduction
Jatinderkumar R. Saini currently works at the Symbiosis Institute of Computer Studies and Research, Symbiosis International Deemed University, Pune, India. Jatinderkumar does research in Data Mining, Software Engineering and Artificial Intelligence. Their current project is 'Natural Language Processing (NLP).'
Additional affiliations
April 2019 - present
Symbiosis Institute of Computer Studies and Research
Position
  • Managing Director
June 2018 - April 2019
Narmada College of Computer Application (NCCA), Bharuch, Gujarat, India
Position
  • Managing Director
December 2013 - June 2018
Narmada College of Computer Application (NCCA), Bharuch, Gujarat, India
Position
  • Managing Director

Publications

Publications (214)
Chapter
Artificial intelligence has proven tremendous growth in every sector. AI-based solution is now available in every industry such as health sector, finance, education, agriculture, gaming, data security, travel and transport. AI is transforming our lives rapidly. Due to large availability of data and increasing capacity of power, AI has gained more p...
Chapter
For the retrieval of information from different sources and formats, pre-processing of the collected information is the most important task. The process of stop-word elimination is one such part of the pre-processing phase. This paper presents, for the first time, the list of stop-words, stop-stems and stop-lemmas for Malayalam language of India. I...
Chapter
Topic modeling is an unsupervised technique which allows representing the corpus using various topics which are inherent but hidden. These topics in turn contain different relevant words, and the relevance is calculated using latent features. The topic model is built using latent dirichlet allocation (LDA) which is constructed on the corpus and is...
Chapter
Electric Vehicles (EVs) that are the technology of the future face a major hindrance, which is the large battery size. Battery pack sums up to almost half of the cost of the EV. Lithium-ion batteries of EVs are made up of cells arranged in a particular pattern and even if a single cell is damaged, the entire battery pack has to be replaced. Instead...
Chapter
In the present research work, we proposed a novel Web document classification model (WDCM) to classify healthcare-related URLs. This is required as the Web is flooded with millions of URLs and they may be duplicated or irrelevant most of the time. It is a challenging task to extract and organize Web documents specific to a certain domain. Another c...
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In any interactive agent, providing a suitable answer plays a vital role in determining the success of that chatbot. In the present research work, speech recognition API and Google Translate API are used to recognize the user’s voice and text translation respectively. We propose the design and implementation of a novel Marathi speech-based educatio...
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Presently, the existing systems use the star ratings of products as the quality factor, but ignore the tangible feedback. It is problematic since the star ratings may differ from the intensity of written feedback given by the user. This motivated authors to come up with the system that will use both ratings and reviews together. In this paper, the...
Article
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Identifying where to invest and how much to invest can be very challenging for common people who have limited knowledge in the domain. Portfolio managers are financial professionals who spend a lot of time and effort to help investors in investing funds and implementing investment strategies, but not all can afford to consult them. The study aims t...
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The topic model implementation is not a new concept for English corpus due to the availability of plenty of resources, but developing a topic model for Sanskrit is comparatively an untouched area. The proposed approach is a 4 phased. The first phase constructs Hysynset followed by building a topic model that acts as a second phase. In the third pha...
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The authors of this research paper present a mechanism for dealing with loanwords, missing words, and newly developed terms inclusion issues in WordNets. WordNet has evolved as one of the most prominent Natural Language Processing (NLP) toolkits. This mechanism can be used to improve the WordNet of any language. The authors chose to work with the H...
Article
The COVID-19 pandemic has disrupted businesses and compelled the workforce toward the adoption of technology-enabled work from home (WFH). The purpose of this study is to investigate and understand the employee experiences and effectiveness of technology-enabled WFH. In-depth structured interviews were conducted with 39 respondents from western Ind...
Chapter
Gujarat is one of the states in the western part of India, and the Gujarati language is the official language of Gujarat. The Gujarati language is more than 700 years old and is spoken by more than 55 million people around the world. A machine translation system (MTS) is needed for the communication between people knowing different languages. Idiom...
Preprint
In the digital world information dissemination takes place through the 'word-of-media'. The fraudulent, and deceitful content such as misinformation has detrimental effects on people. To assess the credibility of content and detect misinformation, fact-based automated fact-checking is considered effective. Automated fact-checking comprises of infor...
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In recent years, the Internet of Things (IoT) has been industrializing in various real-world applications, including smart industry and smart grids, to make human existence more reliable. An overwhelming volume of sensing data is produced from numerous sensor devices as the Industrial IoT (IIoT) becomes more industrialized. Artificial Intelligence...
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The Sign Language Recognition system intends to recognize the Sign language used by the hearing and vocally impaired populace. The interpretation of isolated sign language from static and dynamic gestures is a difficult study field in machine vision. Managing quick hand movement, facial expression, illumination variations, signer variation, and bac...
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Identifying plagiarism of the document is a mandatory task in the academic domain. Generally online available tools are used to check plagiarism. These tools calculate similarity between the documents using a sequence of the tokens/words present in the documents which are to be compared. A semantic relationship between the words for eg., word and i...
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Brain tumor classification plays a niche role in medical prognosis and effective treatment process. We have proposed a combined feature and image-based classifier (CFIC) for brain tumor image classification in this study. Carious deep neural network and deep convolutional neural networks (DCNN)-based architectures are proposed for image classificat...
Article
The COVID-19 pandemic has brought revolutionary changes in many spheres of life including the higher education sector, which has seen a major paradigm shift. The response to this has been in the form of switching to, or adopting the online teaching-learning methodologies for higher education in India. This study is a formal attempt to examine the i...
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Accessibility of text is an attribute that deserves the attention of researchers and content creators. This study is an attempt to determine the lexical features that play a key role in identifying complex words in Hindi text. As the first step, we studied the parameters used in readability metrics in different languages and tested their importance...
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The expeditious flow of information over the web and its ease of convenience has increased the fear of the rampant spread of misinformation. This poses a health threat and an unprecedented issue to the world impacting people’s life. To cater to this problem, there is a need to detect misinformation. Recent techniques in this area focus on static mo...
Chapter
For automatic classification tasks, computational linguistic examination of a literary text is challenging. Literary content such as poetry can be categorized based on emotion, theme, poet, hidden message, etc. In this work, we have proposed a theme-based deep Punjabi poetry classifier. The dataset comprises over 2000 poetries divided into 8 subcat...
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Personalized recommendations to cold start user is one of the significant challenges in information filtering systems. Most of the existing systems inherited the idea of collaborative filtering (CF) and avoids the item metadata. For instance, consider a book domain whose metadata are author, publisher, language…etc. The elimination of item metadata...
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The majority of the accidents were happening perpetually due to driver drowsiness over the decades. Automation has been playing key role in many fields to provide conformity and improve the quality of life of the users. Though various drowsiness detection systems have been developed during last decade based on many factors, still the systems were d...
Chapter
Health care is critical to lead a healthy life. However, in cases of unhealthy conditions, consulting with the doctor is very difficult. The proposed idea creates a medical or healthcare chatbot using Machine Learning (ML) and Natural Language Processing (NLP). Speech recognition API and Google Translate API are used to recognize the user’s voice a...
Article
Document management is a need for an era and managing documents in the regional languages is a significant and untouched area. Marathi corpus consisting of news is processed to form Group Entity document matrix Marathi (GEDMM), Vector space model for Marathi (VSMM) and Hysynset Vector space model for Marathi (HSVSMM). GEDMM uses entity group extrac...
Chapter
Managing a large number of textual documents is a critical and significant task and supports many applications ranging from information retrieval to clustering search engine results. The multilinguistic facility provided by websites makes Hindi a major language in the digital domain of information technology today. This work focuses on document man...
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Sharing the identity in cross-domain application deployment requires a controlled environment to ensure privacy of the user or request. The paper presents various protocols for Federated Identity Management, available in literature for identity sharing in cross-domain application deployment. Also, the implementation and limitations of each protocol...
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Unsolicited Bulk Email (UBE) still continues to successfully pass through the keyword-based and Artificial Intelligence (AI)-based filters due to the smart use of ‘word-salad’, ‘slang’ and ‘leet’ by the spammers to dilute as well as pollute the email text. Many research works account for the wastage of bandwidth and time of users as well as loss of...
Chapter
The use of the learning analytics (LA) and educational data mining (EDM) is going on from the last two decades. LA is a human-lead process which predicts learners’ performance as well as identifying potential problematic issues of the learner as the EDM translates the data into meaningful actions to support and empower the learning. In literature,...
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Poetry covers a vast part of the literature of any language. Similarly, Hindi poetry is also having a massive portion in Hindi literature. In Hindi poetry construction, it is necessary to take care of various verse writing rules. This paper focuses on the automatic metadata generation from such poems by computational linguistics integrated advance...
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Poems have always been an excellent way of expressing emotions in any language. In particular, Hindi poetry is having versatile popularity among native and non-native speakers all over the world. A typical poem in Hindi is characterized by meter (“Chhand”), emotion (“Rasa”), and figure of speech (“Alankaar”). The present research work is the first...
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Textual similarity among documents often leads to copyright issues. Manual measurement of similarity among documents is a time consuming infeasible activity. In this paper, we proposed a technique for measuring similarity at sensed-lexicon level for documents written in Punjabi language using Gurumukhi script. 50 Punjabi document pairs were manuall...
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Information gets spread rapidly in the world of the internet. The internet has become the first choice of people for medication tips related to their health problems. However, this ever-growing usage of the internet has also led to the spread of misinformation. The misinformation in healthcare has severe effects on the life of people, thus efforts...
Article
Though e-learning and learner’s perspective have been researched a lot by researchers, there is a real dearth of quality empirical research studies on adoption of massive open online courses (MOOCs) from teachers’ perspective in general and in Indian scenario in particular. In addition to accomplishing these, the presented research is also unique a...
Chapter
In linguistics, morphology is a study regarding word, word formation, its analysis, and generation. A morphological analyzer is a tool to understand grammatical characteristics and constituent’s part-of-speech information. A morphological analyzer is a useful tool in many NLP implementations such as syntactic parser, spell checker, information retr...
Article
Managing a large number of textual documents is a critical and significant task and supports many applications ranging from information retrieval to clustering search engine results. Marathi is one of the oldest of the regional languages in the Indo-Aryan language family, dating from about AD 1000. Abundance of Marathi literature has generated a bi...
Preprint
Full-text available
This paper is an effort to complement the contributions made by researchers working toward the inclusion of non-English languages in natural language processing studies. Two novel Hindi language resources have been created and released for public consumption. The first resource is a corpus consisting of nearly thousand pre-processed fictional and n...
Research
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: Effort distribution in software engineering is a well-known term used to measure cost and effort estimation for each and every phase or activity in software development. Effort distribution is taken in consideration in almost all IT companies while developing software. But it is mostly not considered or overlooked in developing academic software...
Article
Full-text available
As the poetries are penned with numerous emotions and feelings, the computational linguistic analysis for emotion detection from poetry is a very challenging task. The main aim of this work is to detect emotions from Punjabi poetries based on different features present in Punjabi poetries. This is a pioneering approach in emotion detection from Pun...
Article
Full-text available
Analysis of poetic text is very challenging from computational linguistic perspective. Computational analysis of literary arts, especially poetry, is very difficult task for classification. For library recommendation system, poetries can be classified on various metrics such as poet, time period, sentiments and subject matter. In this work, content...
Article
Full-text available
Late diagnosis and undiagnosed type 2 diabetes are the two major concerns for India, which is going to be a diabetes capital shortly. Several diabetes risk score (DRS) tools have been proposed and deployed for detecting the persons with high risk. These DRS tools have been developed using the multiple logistic regression model. But this model is bo...
Preprint
In this paper, we have proposed global threshold method for separation of printed and non-printed sections from real time medical prescription images. For testing the performance of the proposed method, there is no ground truth database available in the literature. Hence, we have collected real time medical prescriptions from various Dentists, Gyne...