Breast Cancer is a highly aggressive type of cancer generally formed in the cells breast. Despite significant advances treatment primary breast last decade, there dire need to attempt an accurate predictive model for prognosis prediction. Researchers from various disciplines are working together develop methods save people this fatal disease. A good can help correct prediction cancer. This have several benefits like detection early stage, spare patients getting unnecessary and medical...

Detecting cyberbullying from memes is highly challenging, because of the presence implicit affective content which also often sarcastic, and multi-modality (image + text). The current work first attempt, to best our knowledge, in investigating role sentiment, emotion sarcasm identifying multi-modal a code-mixed language setting. As contribution, we have created benchmark meme dataset called MultiBully annotated with bully, labels collected open-source Twitter Reddit platforms. Moreover,...

The task of Dialogue Act Classification (DAC) that purports to capture communicative intent has been studied extensively. But these studies limit themselves text. Non-verbal features (change tone, facial expressions etc.) can provide cues identify DAs, thus stressing the benefit incorporating multi-modal inputs in task. Also, emotional state speaker a substantial effect on choice dialogue act, since conversations are often influenced by emotions. Hence, emotion too automatic identification...

The advent of the Internet is a boon to society. However, many its banes cannot be undermined, cyberbullying being one them. emotional state and sentiment person have significant influence on intended content. current work first attempt in investigating role emotion information for identifying Indian scenario. From Twitter, benchmark Hind–English code-mixed corpus called BullySentEmo has been developed as there no dataset available labeled with bully, sentiment, emotion. Moreover, emoji...

Economically viable remote sensing of foodborne contaminants using minimalistic chemical reagents and simultaneous automation calls for a concrete integration detection strategy with artificial intelligence. In first its kind, we report the ultrasensitive citrinin associated mycotoxins like aflatoxin B1 ochratoxin A an Alizarin Red S (ARS) cystamine-derived carbon dot (CD) that aptly amalgamate machine learning algorithms automation. The photoluminescence response CD as function various...

Breast cancer is a deadly disease with high mortality rate among PAN cancers. The advancements in biomedical information retrieval techniques have been beneficial developing early prognosis and diagnosis systems for patients. These provide the oncologist plenty of from several modalities to make correct feasible treatment plan breast patients protect them unnecessary therapies their toxic side effects. patient's related can be collected using various like clinical, copy number variation,...

Although social media can efficiently disseminate information, they also facilitate the dissemination of online abuse, harassment, and hate speech. In 2019, United Nations Secretary-General introduced Strategy Plan Action on Hate Speech in response to alarming global trend rising It is crucial prevent speech because it have severe negative effects both individuals society. While much research has been conducted detecting English, little other languages, such as Malay. this paper, we present...

In the financial service sector, customer is most critical tool for long-term business growth. A complaint detection (CD) system could aid in identification of shortcomings product features and delivery. This further ensure faster resolution complaints thereby help retain existing clients attract new ones. Prior research has prioritized only prediction corresponding severity levels; first aim to categorize a textual element as or noncompliant. The other attempts classify into several levels...

Social media platforms are a double-edged sword: on the one hand, they enable dissemination of information; but other also provide an avenue for spreading online abuse and harassment, such as hate speech. While significant research efforts being devoted to detecting speech in English language, little attention has been paid Thai language. In this study, we created benchmark dataset, called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...

To minimize the accelerating amount of time invested on biomedical literature search, numerous approaches for automated knowledge extraction have been proposed. Relation is one such task where semantic relations between entities are identified from free text. In domain, regulatory pathways, metabolic processes, adverse drug reaction or disease models necessitates individual relations, example, physical interactions genes, proteins, drugs, chemical, phenotype.In this paper, we study relation...

Speech act classification determining the communicative intent of an utterance has been studied widely over years as independent task. This holds true for discussion in any a, including social media platforms such Twitter. However, tweeter’s emotional state a huge impact on its pragmatic content because communication is fundamentally characterized and mediated by direct emotions. Sentiment human behavior often strong relation to emotion, one helps understand other better. We hypothesize that...

Tulika Saha, Apoorva Upadhyaya, Sriparna Pushpak Bhattacharyya. Proceedings of the 2021 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies. 2021.

Transfer Learning is an effective method of dealing with real-world problems where the training and test data are drawn from different distributions. learning methods use a labeled source domain to boost task in target that may be unsupervised or semi-supervised. However, previous transfer algorithms Euclidean distance Mahalanobis formula represent relationships between instances try capture geometry manifold. In many scenarios, this not enough these functions fail intrinsic manifold exists...

Abstract Protein is the primary building block of living organisms. It interacts with other proteins and then involved in various biological processes. Protein–protein interactions (PPIs) help predicting hence understanding functionality proteins, causes growth diseases, designing new drugs. However, there a vast gap between available protein sequences identification protein–protein interactions. To bridge this gap, researchers proposed several computational methods to reveal proteins. These...

The rising usage of social media has motivated to invent different methodologies anonymous writing, which leads an increase in malicious and suspicious activities. This anonymity created difficulty finding the suspect. Author profiling deals with characterization author through some key attributes such as gender, age, language, dialect region variety, personality, so on. Identifying gender a suspect document is salient task author-profiling. linguistic profile user can help determining...