Drsantosh Kumar Bharti

• PhD
• Professor (Assistant) at Pandit Deendayal Petroleum University

Automatic text summarization and formality analysis have been extensively studied in linguistics and natural language processing (NLP). However, their application to economic data remains underexplored. Economic texts, such as policy documents, financial reports, and news articles, often exhibit varying levels of formality that influence decision-m...

Automatic text summarization has been a prominent research topic for over a decade, aiming to distill concise summaries from extensive textual documents. This study introduces a novel approach addressing the intricacies of morphologically rich Indo-Iranian languages. We propose a unique method that leverages linguistic formality to guide summary ge...

Automatic text summarization is a more than decade-old research method to get a summary from the larger descriptive text, and the cam- paign to find the best approach is still going on. Much research has been done, and new techniques are emerging to get a summary from the text document. Many unsupervised methods do not give justice to the lan- guag...

Subjective answers might get tedious to check and take time and effort. Although there has been much research in this field, there needs to be an all-developed and deployable method that considers all factors like keyword matching, context analysis, and relative scoring. We have developed an algorithm for Subjective Answer Evaluation using Tf-idf s...

With the increase in the use of the internet over the globe, the exchange and storage of information have seen an exponential surge as well. While writing and reading, people prefer shorter versions of content to save time and derive only significant insights. This has promoted the use of summarization in the past few decades. Since human-generated...

Plants growth is crucial to an agricultural industry, and to the economy of a nation. Consequently, taking care of plants is essential. Like humans, plants are susceptible to several bacterial, fungal, and viral diseases. To avoid the plants from being destroyed, prompt disease detection and treatment are crucial. The goal of this chapter is to int...

Smart agriculture has become crucial in meeting the increasing dietary needs of a growing population, particularly in countries where agriculture has significant economic impact. Deep learning techniques, such as convolutional neural networks and recurrent neural networks, have been extensively researched and applied in agriculture in recent years....

There are various factors that influence the quality and quantity of agricultural products; among them, weather conditions play the most significant role in agriculture. More reliable weather forecasting enables farmers to make important planting and harvesting decisions that can enhance agricultural yield. Thus, there is a dire need to combine all...

Sentiment analysis is a method to identify people’s attitudes, sentiments, and emotions towards a given goal, such as people, activities, organizations, services, subjects, and products. Emotion detection is a subset of sentiment analysis as it predicts the unique emotion rather than just stating positive, negative, or neutral. In recent times, man...

In the domain of natural language processing, part-of-speech (POS) tagging is the most important task. It plays a vital role in applications like sentiment analysis, text summarization, opinion mining, etc. POS tagging is a process of assigning POS information (noun, pronoun, verb, etc.) to the given word. This information is considered in the cont...

Because of global warming, pollution, and many other factors, the environment is changing at an alarming rate. Accurate forecasting can assist people in making appropriate plans for activities such as harvesting, traveling, aviation, etc. Satellites and radar have been increasingly popular in weather forecasting over the previous few decades. The i...

The changes in the weather play a significant role in people's planning. It has attracted the attention of several study communities due to the fact that it has an impact on human life all over the world. But weather forecasting is a challenging task because it is dependent on a variety of factors such as wind speed, wind direction, global warming,...

In the modern era, posting sarcastic comments on social media became the common trend. Sarcasm is often used by people to taunt or pester others. It is frequently expressed through inflexion, tonal stress in speech or in the form of lexical, pragmatic, and hyperbolic features present in the text. Most of the existing work has been focused on either...

Kumar Bharti, SantoshAccuracy isPatel, Falguni essential in developing and researching innovative products. For example, in a live customer helpline chat, an honest dialogue between its users can be achieved by a live emotion analysis and verification to corroborate messages of both ends which ultimately nullifies the deceit made to complainers on...

Brain cancer ranks tenth on the list of leading causes of death in both men and women. Biopsy is one of the most used methods for diagnosing cancer. However, the biopsy process is quite dangerous and take a long time to reach a decision. Furthermore, as the tumor size is rising quickly, non-invasive, automatic diagnostic equipment is required which...

In the Original publication, the author has found few errors as below.

Nowadays, a major concern for most retail banks is the risk that originates from customer fluctuation and that increases the cost of almost every financial product. In this work, the authors compared different approaches and algorithms to predict the relevant features that affect the customer churn, which means we can find ways to reduce the custom...

The emergence of COVID-19 with grey areas about the cure and spread of the infection is a significant challenge for the 21st century world. The COVID-19 pandemic has prodigious consequences on human lives and the healthcare industry is constantly seeking support from modern decisive technology such as Artificial Intelligence (AI) to tackle this rap...

Veracity is an essential key in research and development of innovative products. Live Emotion analysis and verification nullify deceit made to complainers on live chat, corroborate messages of both ends in messaging apps and promote an honest conversation between users. The main concept behind this emotion artificial intelligent verifier is to lice...

Bharti, Santosh KumarNaidu, ReddyBabu, Korra SathyaIn the scarcity of Telugu, annotated dataset makes sentiment analysis task challenging for researchers in the recent times. A rapid growth was seen in development of annotated datasets in Telugu for sentiment analysis. SentiWordNet (SWNet) is one of them where they mapped a sentiment score to every...

Poetry is one of the richest forms of literature, which in itself includes all components of language a human learns; by components here, the context is towards the rhetorical devices. The rhetorical devices constitute the witty use of words used in the reference to things. The work intends to identify the forms of creative references used by the p...

Heart disease, alternatively known as cardiovascular disease, encases various conditions that impact the heart and is the primary basis of death worldwide over the span of the past few decades. It associates many risk factors in heart disease and a need of the time to get accurate, reliable, and sensible approaches to make an early diagnosis to ach...

Recognition of sarcastic statements has been a challenge in the process of sentiment analysis. A sarcastic sentence contains only positive words conveying a negative sentiment. Therefore, it is tough for any automated machine to identify the exact sentiment of the text in the presence of sarcasm. The existing systems for sarcastic sentiment detecti...

Authentication plays a very important role to manage security. In the modern era, it is one, in all the priorities. With the appearance of technology, the interaction with machines is turning automatic. Therefore, the need of authentication increases rapidly for various security purposes. Because of this, the biometric-based authentication has gain...

How about turning a boring wall clock into a marvelous invention which not only shows time but works wonders when operated carefully! With the advancement in technology and the increasing needs of better and smart devices, we have proposed an idea that applies the Internet of Things (IoT) which includes a wall clock with an electric eye i.e. motion...

Among the plethora of social media, Twitter has emerged as the favorite destination for researchers in recent times. Many researchers are inclined to work on Twitter due to the availability of massive tweets and its unique features like hashtags and short messages. In recent times, various studies have preferred the hashtags (#sarcasm and #sarcasti...

Internet of Things (IoT) is present and future of every field impacting everyone’s life by making everything intelligent. It is a network of different devices which make a self-configuring network. The new developments of Smart Farming with use of IoT, by day turning the face of conventional agriculture methods by not only making it optimal but als...

Posting sarcastic messages on social media like Twitter, Facebook, WhatsApp, etc., became a new trend to avoid direct negativity. Detecting this indirect negativity in the social media text has become an important task as they influence every business organization. In the presence of sarcasm, detection of actual sentiment on these texts has become...

Sentiment analysis is the way of finding ones' opinion towards any specific target. Sarcasm is a special type of sentiment which infers the opposite meaning of what people convey in the text. It is often expressed using positive or intensified positive words. Nowadays, posting sarcastic messages on social media like Twitter, Facebook, WhatsApp, etc...

In recent times, sarcasm analysis being one of the toughest challenge in Natural Language Processing (NLP). The property of sarcasm that makes it difficult to analyze and detect is the gap between its literal and intended meaning. Detecting sarcastic sentiment in the domain of social media such as Facebook, Twitter, online blogs, reviews, etc. has...

Sarcasm detection in Indian languages is a challenging task in Natural Language Processing (NLP) due to the richness of morphology. Hindi being a fourth popular language in the world remain unex-plored in sarcasm detection. One of the reasons is the lack of annotated resources. In the absence of sufficient resources, processing the NLP tasks such a...

In the context of Indian languages, sarcasm detection in Hindi is a tedious job as it is rich in morphology and complex in structure. The annotated resources for sarcastic Hindi sentences are almost negligible for machine learning analysis. Here, we propose a pattern-based framework for sarcasm detection in Hindi tweets. It has been observed that a...

In Natural Language Processing (NLP), sarcasm analysis in the text is considered as the most challenging task. It has been broadly researched in recent years. The property of sarcasm that makes it harder to detect is the gap between the literal and its intended meaning. It is a particular kind of sentiment which is capable of flipping the entire se...

Summarization is the way towards lessening the content of a text file to make it brief that holds all the critical purposes in the content of original text file. In the process of extractive summarization, one extracts only those sentences which are the most relevant sentences in the text document and that conveys the moral of the content. The extr...

Sarcasm analysis, being one of the toughest challenges in natural language processing (NLP), has become a hot topic of research these days. A lot of work has already been done in the field of sentiment analysis, but there are huge challenges still being faced in identification of sarcasm. The property of sarcasm that makes it difficult to analyze a...

In recent times, data is growing rapidly in every domain such as news, social media, banking, education, etc. Due to the excessiveness of data, there is a need of automatic summarizer which will be capable to summarize the data especially textual data in original document without losing any critical purposes. Text summarization is emerged as an imp...

Sarcasm analysis, being one of the toughest challenges in natural language processing (NLP), has become a hot topic of research these days. A lot of work has already been done in the field of sentiment analysis, but there are huge challenges still being faced in identification of sarcasm. The property of sarcasm that makes it difficult to analyse a...

In recent times, sentiment analysis in low resourced languages and regional languages has become emerging areas in natural language processing. Researchers have shown greater interest towards analyzing sentiment in Indian languages such as Hindi, Telugu, Tamil, Bengali, Malayalam, etc. In best of our knowledge, microscopic work has been reported ti...

Summarization is the process of shortening a text document to make a summary that keeps the main points of the actual document. Extractive summarizers work on the given text to extract sentences that best express the message hidden in the text. Most extractive summa-rization techniques revolve around the concept of finding keywords and extracting s...

Summarization is the process of reducing a text document to create a summary that retains the most important points of the original document. Extractive summarizers work on the given text to extract sentences that best convey the message hidden in the text. Most extractive summarization techniques revolve around the concept of �finding keywords and...

Sarcasm is a type of sentiment where people express their negative feelings using positive or intensified positive words in the text. While speaking, people often use heavy tonal stress and certain gestural clues like rolling of the eyes, hand movement, etc. to represent sarcastic. In the textual data, these tonal and gestural clues are missing, ma...

Attacks on the internet keep on increasing and it causes harm to our security system. In order to minimize this threat, it is necessary to have a security system that has the ability to detect zero-day attacks and block them. " Honeypot is the proactive defense technology, in which resources placed in a network with the aim to observe and capture n...

In the quest of storing huge amount of data on cloud servers, security and privacy evolve as the major concern for the user. Storage and retrieval of private information from the cloud server is the most challenging issue for users. The major issues involving storage of data on cloud servers are Confidentiality, Data Integrity, Data Availability, D...

Sentiment Analysis is a technique to identify people’s opinion, attitude, sentiment, and emotion towards any specific target such as individuals, events, topics, product, organizations, services etc. Sarcasm is a special kind of sentiment that comprise of words which mean the opposite of what you really want to say (especially in order to insult or...

In wireless sensor networks, sensor node localization is important because sensor nodes are randomly scattered in the region of interest and they get connected into network on their own. Localization information is needed in routing of data, reducing energy consumption and in location dependent data acquisition. No prior knowledge of the noise dist...

Cloud computing is the development of parallel computing, distributed computing, grid computing and virtualization technologies which define the shape of a new era. Cloud computing is an emerging model of business computing. In this paper, we explore the concept of cloud architecture and compares cloud computing with grid computing. We also add...

This paper describes the implementation of voice conversion system using linear prediction coefficients (LPC) and artificial neural networks (ANN). In this work, microphone recorded parallel speech utterances are used for voice conversion. Linear prediction coefficients are extracted from the speech utterance of the source and target speakers using...