Hybrid approach: naive bayes and sentiment VADER for analyzing sentiment of mobile unboxing video comments

Revolution in social media has attracted the users towards video sharing sites like YouTube. It is the most popular social media site where people view, share and interact by commenting on the videos. There are various types of videos that are shared by the users like songs, movie trailers, news, entertainment etc. Nowadays the most trending videos is the unboxing videos and in particular unboxing of mobile phones which gets more views, likes/dislikes and comments. Analyzing the comments of the mobile unboxing videos provides the opinion of the viewers towards the mobile phone. Studying the sentiment expressed in these comments show if the mobile phone is getting positive or negative feedback. A Hybrid approach combining the lexicon approach Sentiment VADER and machine learning algorithm Naive Bayes is applied on the comments to predict the sentiment. Sentiment VADER has a good impact on the Naive Bayes classifier in predicting the sentiment of the comment. The classifier achieves an accuracy of 79.78% and F1 score of 83.72%

Children Activity Alert System Using Accelerometer and GSM Technology

In this paper the discussion is about monitoring a child. Most of the children’s takes there first step sometime between 9 and 12 months and are walking well by the time ,when they are 14 or 16 months old and they will be in danger, during this age as they start walking. Hence we place a Accelerometer and RFID on the body of child to secure child from accidents such as falling or any injuries at home .The Accelerometer and RFID placed on hands and waist of baby which gives every movements of child. Temperature sensor is used to check the home temperature for safety of child

Novel Scoring Systems to Predict the Need for Oxygenation and ICU Care, and Mortality in Hospitalized COVID-19 Patients: A Risk Stratification Tool

INTRODUCTION: A rapid surge in cases during the COVID-19 pandemic can overwhelm any healthcare system. It is imperative to triage patients who would require oxygen and ICU care, and predict mortality. Specific parameters at admission may help in identifying them. METHODOLOGY: A prospective observational study was undertaken in a COVID-19 ward of a tertiary care center. All baseline clinical and laboratory data were captured. Patients were followed till death or discharge. Univariable and multivariable logistic regression was used to find predictors of the need for oxygen, need for ICU care, and mortality. Objective scoring systems were developed for the same using the predictors. RESULTS: The study included 209 patients. Disease severity was mild, moderate, and severe in 98 (46.9%), 74 (35.4%), and 37 (17.7%) patients, respectively. The neutrophil-to-lymphocyte ratio (NLR) \u3e4 was a common independent predictor of the need for oxygen (

Fast Orthostatic Tremor in Parkinson’s Disease: Case Report and Comprehensive Review of Literature

Background: Orthostatic tremor (OT) is a rare symmetric tremor disorder occasionally observed in association with other movement disorders. Case report: We report the presence of a fast OT in a case of Parkinson’s disease (PD), and provide a comprehensive review of the literature. Discussion: A fast OT presenting as unsteadiness may be a presenting symptom of PD. This symptom may be nonresponsive to levodopa, and benzodiazepines should be prescribed to adequately control the OT and reduce disability

Genetic variations in the Dravidian population of South West coast of India: Implications in designing case-control studies

Background & objectives: Indian data have been largely missing from genome-wide databases that provide information on genetic variations in different populations. This hinders association studies for complex disorders in India. This study was aimed to determine whether the complex genetic structure and endogamy among Indians could potentially influence the design of case-control studies for autoimmune disorders in the south Indian population. Methods: A total of 12 single nucleotide variations (SNVs) related to genes associated with autoimmune disorders were genotyped in 370 healthy individuals belonging to six different caste groups in southern India. Allele frequencies were estimated; genetic divergence and phylogenetic relationship within the various caste groups and other HapMap populations were ascertained. Results: Allele frequencies for all genotyped SNVs did not vary significantly among the different groups studied. Wright's FSTwas 0.001 per cent among study population and 0.38 per cent when compared with Gujarati in Houston (GIH) population on HapMap data. The analysis of molecular variance results showed a 97 per cent variation attributable to differences within the study population and <1 per cent variation due to differences between castes. Phylogenetic analysis showed a separation of Dravidian population from other HapMap populations and particularly from GIH population. Interpretation & conclusions: Despite the complex genetic origins of the Indian population, our study indicated a low level of genetic differentiation among Dravidian language-speaking people of south India. Case-control studies of association among Dravidians of south India may not require stratification based on language and caste

Optical Aberrations- A Trigger Factor For Migraine

"Migraine is a neurovascular disorder encompassing a wide clinical spectrum of signs and symptoms. The objective of this study was to evaluate whether aberrations of the eye can be trigger factors for migraine.

Corneal Biomechanics A Journey Through Unchartered Territories

"To ascertain the relationship of corneal biomechanics with the severity of visual field loss in patients with Papilloedema due to Idiopathic Intracranial Hypertension (IIH).