Akshi Kumar

Netaji Subhas University of Technology

Wearable sensor‐based devices like actigraphs collect motor activity data which provide objective measures of physical activity. This research puts forward a novel methodology for assessment of objective sleep quality using actigraph recordings of motor activity. High level features of sequential motor activity data are extracted using Long‐Short T...

The direct and indirect mental health stressors, especially associated with the “tele-burden of pandemic” added due to the adoption of the remote learning paradigm, have led to increased online fatigue, distress, and burnout. This research aims to comprehend the perception of psychological distress experienced by Indian students placed in the new o...

The unrelenting trend of doctored narratives, content spamming, fake news and rumour dissemination on social media can lead to grave consequences that range from online intimidating and trolling to lynching and riots in real- life. It has therefore become vital to use computational techniques that can detect rumours, do fact-checking and inhibit it...

Automated sarcasm detection is deemed as a complex natural language processing task and extending it to a morphologically-rich and free-order dominant indigenous Indian language Hindi is another challenge in itself. The scarcity of resources and tools such as annotated corpora, lexicons, dependency parser, Part-of-Speech tagger and benchmark datase...

Advancement of Web 2.0 has completely revolutionized the way people communicate and exchange information among them using social media such as Twitter etc. People are using smart technology based solutions (including IoT’s, sensors etc.) at an unprecedented scale for enhancing their quality of the life and building a smart city. These social sensor...

As a constructive mode of information sharing, collaboration and communication, social media platforms offer users with limitless opportunities. The same hypermedia can be transposed into a synthetic and toxic milieu that provides an anonymous, destructive pedestal for online bullying and harassment. Automatic cyberbullying detection on social medi...

Selecting the optimal set of features to determine sentiment in online textual content is imperative for superior classification results. Optimal feature selection is computationally hard task and fosters the need for devising novel techniques to improve the classifier performance. In this work, the binary adaptation of cuckoo search (nature inspir...

Discernible patterns of a person’s daily activities can be utilized to detect behavioral symptomatology of mental illness at early stages. Wearable Internet of Medical Things (IoMT) devices with sensors that collect motion data and provide objective measures of physical activity can help to better monitor and detect potential episodes related to th...

The intersection of people, data and intelligent machines has a far-reaching impact on the productivity, efficiency and operations of a smart industry. Internet-of-things (IoT) offers a great potential for workplace gains using the “quantified self” and the computer vision strategies. Their goal is to focus on productivity, fitness, wellness, and i...

Sentiment analysis is indeed a difficult task owing to the playful language mannerism, altered vocabulary and speak-text used on online forums. Humans tend to use words and phrases in ways that are incomprehensible to those who are not involved in the discourse. Sarcastic remarks in conversations are often utilized to mock others by saying somethin...

Recognizing and regulating human emotion or a wave of riding emotions are a vital life skill as it can play an important role in how a person thinks, behaves and acts. Accurate real-time emotion detection can revolutionize the human–computer interaction industry and has the potential to provide a proactive approach to mental health care. Several un...

Neural sequence to sequence models have achieved superlative performance in summarizing text. But they tend to generate generic summaries that under-represent the opinion-sensitive aspects of the document. Additionally, the sequence to sequence models are prone to test-train discrepancy (exposure-bias) arising from the differential summary decoding...

Image segmentation is an important process in computer vision. Recently fuzzy logic based edge detection is heavily investigated as by changing the number of rules edge detection can be improved. However, due to large colour variations in the images false edges are detected and even using fuzzy rules they cannot be reduced significantly. These fals...

To steer impactful data-driven possibilities, Social Internet of Things (SIoT) comes with the collaboration of IoT and social networking and finds deeper insights into consumer behavior for better user experiences. Social networks can permeate intelligence to aid autonomous decision making by enhancing the service needs and communication among obje...

Microblogs have become a customary news media source in recent times. But as synthetic text or ‘readfakes’ scale up the online disinformation operation, unsubstantiated pieces of information on social media platforms can cause significant havoc by misleading people. It is essential to develop models that can detect rumours and curtail its cascading...

Modern technologies have made the internet more accessible, with social networks and online communications witnessing a several-fold increase in usage and popularity. Since it offers such ease and convenience, it has become an indispensable part of modern culture. However, as with all good things, it has also led to a new peril - Cyberbullying, whi...

Pervasive healthcare services have evolved substantially in the recent years with IoMT rapidly changing the pace and scale of healthcare delivery. A promising application of IoMT is to fetch patterns of mental behaviour symptomatology based on bio-signals and transfer it to the corresponding hospital or psychologist for remote monitoring. But the d...

Sarcasm detection in dialogues has been gaining popularity among natural language processing (NLP) researchers with the increased use of conversational threads on social media. Capturing the knowledge of the domain of discourse, context propagation during the course of dialogue, and situational context and tone of the speaker are some important fea...

Sentiment analysis on social media relies on comprehending the natural language and using a robust machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction results. The cultural miscellanies, geographically limited trending topic hash-tags, access to aboriginal langua...

Edge detection is an important phenomenon in computer vision. Edge detection is helpful in contour detection and thus helpful in obtaining the important information. Edge detection process heavily depends on chosen technique. Soft computing techniques are considered as powerful edge detection methods due to their adaptability. This paper presents a...

IoMT sensors such as hearables, moodables, ingestible sensors and trackers have the potential to provide a proactive approach to healthcare. But grouping, traversing and selectively tapping the IoMT data traffic and its immediacy makes data management & decision analysis a pressing issue. Evidently, the selection process for real-world, time-constr...

As the world combats with the outrageous and perilous novel coronavirus, national lockdown has been enforced in most of the countries. It is necessary for public health but on the flip side it is detrimental for people’s mental health. While the psychological repercussions are predictable during the period of COVID-19 lockdown but this enforcement...

Cyberbullying is the use of information technology networks by individuals’ to humiliate, tease, embarrass, taunt, defame and disparage a target without any face-to-face contact. Social media is the 'virtual playground' used by bullies with the upsurge of social networking sites such as Facebook, Instagram, YouTube and Twitter. It is critical to im...

Affective state recognition at an early stage can help in mood stabilization, stress and depression management for mental well-being. Pro-active and remote mental healthcare warrants the use of various biomarkers to detect the affective mental state of the individual by evaluating the daily activities. With the easy accessibility of IoT-based senso...

Agility gives the ability to be highly responsive to changes and make improvements in the way the agile project is documented. The just-in-time and just barely good enough documentation may miss out on important executable specifications. Interestingly, the frequently asked ‘how-to-do’ questions on the popular question answering (Q&A) websites like...

Edge detection is an important phenomenon in various classes of engineering problems. The classical methods which are based on the kernel designs are not very accurate and edges are falsely detected. Recent methods which are based on soft computing are adaptive in nature, and therefore using soft computing methods accuracy of detected edges can be...

With the accelerated evolution of social networks, there is a tremendous increase in opinions by the people about products or services. While this user-generated content in natural language is intended to be valuable, its large amounts require use of content mining methods and NLP to uncover the knowledge for various tasks. In this study, sentiment...

Computer vision and natural language processing play a crucial role in automatic depiction of contents in an image. Image captioning is a fundamental problem in the field of artificial intelligence. Machines cannot imitate the human intelligence or the ways humans interact with one another, therefore it stays a continuous undertaking. Automizing th...

Automatic detection of cyberbullying in social media content is a natural language understanding and generic text classification task. The cultural diversities, country-specific trending topics hash-tags on social media, the unconventional use of typographical resources such as capitals, punctuation, emojis and easy availability of native language...

To compete in the current data-driven economy, it is essential that industrial manufacturers leverage real-time tangible information assets and embrace big data technologies. Data classification is one of the most proverbial analytical technique within the cognitively capable manufacturing industries for finding patterns in structured and unstructu...

The opinion seeking behavior of people for good decision making has greatly enhanced the importance of social media as a platform for exchange of information. This trend has led to a sudden spurt of information overflow on the Web. The huge volume of such information has to be technically processed for segregating the relevant knowledge. Sentiment...

With the advancement of wireless communication, internet of things, and big data, high performance data analytics tools and algorithms are required. Data clustering, a promising analytic technique is widely used to solve the IoT and big data based problems, since it does not require labeled datasets. Recently, meta-heuristic algorithm have been eff...

Cyber-physical systems and Internet of Things (IoT) form two different levels of the vertical digital integration. Integration of websites with IoT-connected devices has compelled creation of new web design and development strategies where websites are designed keeping in mind the permutations of smart devices. The design should be seamless across...

Twitter is a ubiquitous, socially engaging and a rapid communication medium. To filter the relevant information like news, hashtags, links, followers, retweets for better user experience recommender systems have been extensively used on Twitter. Uncertainty in user preference, fuzziness in the rating process and the imprecision associated with the...

The scarcity of dependable product descriptions and limited emotion unmasking capabilities of user-ratings compromise the accuracy of content-based filtering (CBF) systems. This work puts forward a sentiment-enhanced content-based recommender system (SEC-Rec). The model has four modules, namely key feature extraction module, feature sentiment analy...

Analyzing explicit and clear sentiment is challenging owing to the growing use of emblematic and multilingual language constructs. This research proposes sarcasm detection using deep learning in code-switch tweets, specifically the mash-up of English with Indian native language, Hindi. The proposed model is a hybrid of bidirectional long short-term...

In the contemporary age of information, accessing data becomes easy, but finding knowledge is very difficult. The participation & publishing of information has consequently escalated the suffering of 'Information Glut.' Assisting users' informational searches with reduced reading or surfing time by extracting and evaluating accurate, authentic & re...

In this paper, we deal with the issue of feature selection by comparing different approaches based on Gravitational Search Algorithm, Particle Swarm Optimisation and Genetic Algorithm. The comparison is drawn on the parameters of feature reduction percentage, accuracy and time taken. The optimization is performed with the following supervised predi...

Deciphering user purchase preferences, their likes and dislikes is a very tricky task even for humans, making its automation a very complex job. This research work augments heuristic-driven user interest profiling with reviewer credibility analysis and fine-grained feature sentiment analysis to devise a robust recommendation methodology. The propos...

Social web has transformed healthcare communication as patients reach out to seek support and advice by connecting with other patients, caregivers and healthcare professionals. The influx of health-related queries and the volume of answers within the medical forums is a testimony to this adaption. The scalability, natural interaction and dynamism o...

Recent studies have shown that due to tight schedule or cost/resource constraint, development or maintenance team generally develops or updates the software system without maintaining the proper Software Requirement Specification documentation. In the above scenario, the situation becomes troublesome to maintain the software system once it goes int...

The rapid evolution and adoption of the SMAC (Social media, Mobile, Analytics and Cloud) technology paradigm, has generated massive volumes of human-centric, real-time, multimodal, heterogeneous data. Human-sourced information from social networks, process-mediated data from business systems and machine-generated data from Internet-of-Things are th...

Detecting sentiments in natural language is tricky even for humans, making its automated detection more complicated. This research proffers a hybrid deep learning model for fine-grained sentiment prediction in real-time multimodal data. It reinforces the strengths of deep learning nets in combination to machine learning to deal with two specific se...

Online advertising is an industry with the potential for maximum revenue extraction. Displaying the ad which is more likely to be clicked plays a crucial role in generating maximum revenue. A high click through rate (CTR) is an indication that the user finds the ad useful and relevant. For suitable placement of ads online and rich user experience,...

The fourth industrial revolution, which is also known as Industry 4.0 elucidates future industry improvement patterns to accomplish intelligent production processes, including dependence on CPS or Cyber Physical Systems, development of Cyber-Physical Production Systems (CPPS), and execution of smart factories. The purpose of Industry 4.0 is to manu...

Industry 4.0 is a digital revolution being witnessed in the present generation whereby the aim is to digitize the entire manufacturing process with minimal human or manual intervention. The aim is to encompass as many industries as feasible and adapt and enhance the existing technologies to better suit the needs of digital manufacturing. Concepts l...

Business innovation and industrial intelligence are paving the way for a future in which smart factories, intelligent machines, networked processes and Big Data are combined to foster industrial growth. The maturity and growth of instrumentation, monitoring and automation as key technology drivers support Industry 4.0 as a viable, competent and act...

Edge detection is an important process in many classes of engineering problems. An edge is a boundary between two regions. In the edge detection process, the input is a grayscale image while the output image is a binary image showing edge and non-edge pixels. As a state of art, methods are based on gradient operator, but the accuracy level is poor....

Edge detection is a crucial phenomenon in image segmentation. In general, kernel based methods like Sobel, Canny, Roberts etc. are used which are based on first and second derivatives pixels intensity. However, these methods fail to find all the true edges. Moreover, number of falsely detected edges is much more than true edges. This happens due to...

Background Decision making requires a rigorous process of evaluation. Evaluation is an analytical and organized process to figure out the present positive influences, favourable future prospects, existing shortcomings and ulterior complexities of any plan, program, practice or a polity. Evaluation of policy is an essential and vital process require...

Background Studies are indicative of the fact that high quality websites get better rankings on the search engines. A superior website is the one which provides reliable content, has good design & user interface and can address global audience. But the end- users struggle with the predicament of selecting qualitative websites. Although, “Quality” i...

Cyberbullying is to bully someone in the digital realm. It has become extremely detrimental as the social media and the internet have become more popular and omnipresent. People use the internet services to viciously attack others from behind a screen. The substantial growth in the dimensionality, heterogeneity, subjectivity and multimodality of so...

Information overload on Web has been a well-identified challenge which has amplified with the advent of social web. Good, bad, true, false, useful, useless all kinds of information disseminates through the social web platforms. It becomes exceedingly imperative to pro-actively resolve rumours and inhibit them from spreading among the Internet users...

Text-driven sentiment analysis has been widely studied in the past decade, on both random and benchmark textual Twitter datasets. Few pertinent studies have also reported visual analysis of images to predict sentiment, but much of the work has analyzed a single modality data, that is either text or image or GIF video. More recently, as the images,...

The mounting global interest of users in social media portals has reinforced research in knowledge discovery domains to mine useful information from the publicly available user-generated big data. Uncertainty is often linked with the online content, mostly owing to the diverse, noisy, or unstructured data which might be imprecise or vague. Determin...

Sentiment Analysis is the text classification tool that analyses a sentiment, message, emotion, attitude and tells whether the sentiment is positive, negative or neutral. The prime challenging aspect of sentiment analysis is the presence of sarcasm in message. Sarcasm is one kind of sentiment that is expressed verbally through the use of rolling of...

Sarcastic expressions tend to flip the polarity of posts when being analyzed for sentiments. Detecting sarcastic tone, which conveys a sharp, bitter, or cutting expression, remark or taunt in natural language is tricky even for humans, making its automated detection more arduous. Computational models for sarcasm detection have often relied on the c...

Background The App Stores, for example, Google Play and Apple Play Store provide a platform that allows users to provide feedback on the apps in the form of reviews. An app review typically includes star rating followed by a comment. Recent studies have shown that these reviews possess a vital source of information that can be used by the app devel...

Conventional e-government has many practical infrastructure development and implementation challenges. The recent surge of SMAC (Social media, Mobile, Analytics, Cloud) technologies re-defines the e-governance ecosystem. Cloud-based e-governance has numerous operational challenges which range from development to implementation. Moreover, the contem...

Background Sentiment analysis of big data such as Twitter primarily aids the organizations with the potential of surveying public opinions or emotions for the products, events associated to them. Objective In this paper, we propose the application of a deep learning architecture namely the Convolution Neural Network. The proposed model is implemen...

Mental well-being and social media have been closely related domains of study. In this research a novel model, AD prediction model, for anxious depression prediction in real-time tweets is proposed. This mixed anxiety-depressive disorder is a predominantly associated with erratic thought process, restlessness and sleeplessness. Based on the linguis...

A large community of research has been developed in recent years to analyze social media and social networks, with the aim of understanding, discovering insights, and exploiting the available information. The focus has shifted from conventional polarity classification to contemporary applicationoriented fine-grained aspects such as, emotions, sarca...

A lot of uncertainty is generally associated with the micro-blog content, primarily due to the presence of noisy, heterogeneous, structured or unstructured data which may be high-dimensional, ambiguous, vague or imprecise. This makes feature engineering for predicting the sentiment arduous and challenging. Population-based meta-heuristics, especial...

Sentiment detection and classification is the latest fad for social analytics on Web. With the array of practical applications in healthcare, finance, media, consumer markets, and government, distilling the voice of public to gain insight to target information and reviews is non‐trivial. With a marked increase in the size, subjectivity, and diversi...

Availability of data is not the foremost concern today; it is the extraction of relevant information from that data which requires the aid of technology. It is to help millions of users arrive at the desired information as quickly and effortlessly as possible. Document summarization and opinion-based document classification can effectively resolve...

Cyberbullying is utilization of digital technology for targeting a person or a group in order to bully them socially and psychologically. Real-time social media platforms such as Instagram, Twitter, and YouTube have a large viewership, which serves as a fertile medium for such bullying activities. Instances of such harassment or intimidation are ma...

Information overload on the Web has been a well-identified challenge which has amplified with the advent of social web. Good, bad, true, false, useful, and useless are all kinds of information that disseminates through the social web platforms. It becomes exceedingly imperative to resolve rumors and inhibit them from spreading among the Internet us...

A government policy is an ideology of principles, ethics, regulations, and set of rules introduced or constituted by government in interest of normal citizens across country. The purpose of making a policy or scheme is to explore and strengthen the favourable outcomes or profits and to minimize the adverse effects noticed by government. On the flip...

Selecting the optimal set of features to determine sentiment in online textual content is imperative for superior classification results. Optimal feature selection is computationally hard task and fosters the need for devising novel techniques to improve the classifier performance. In this work, the binary adaptation of cuckoo search (nature inspir...

The term web-app defines the current dynamic pragmatics of the website where the user has control. Finding faults in such dynamic content is challenging as whether the fault is exposed or not depends on its execution path. Moreover, the complexity and uniqueness of each web application makes fault assessment an extremely laborious and expensive tas...