Alarming surge in amounts of diverse data in various domains has contributed to ever-growing research in Big Data Analytics globally. Despite the enormous boom in effective application of Big Data Analytics, health care has not entirely clutched the possible benefits. This paper studies the design, development, functionalities, and upcoming trends in investigation of Big Data Analytics. In this paper, the five Big Data Analytics’ potentials are showcased along with advantages in relation to infrastructural, organizational, operational, managerial, strategic areas, and articulation of latest trending areas. Current paper will be greatly advantageous to fellow researchers not just with fundamental facets pertaining to Big Data Analytics in healthcare domain but also a summary of research gaps, latest trends, and developments, thereby opening new avenues for future research. 

HealthCare Data Analytics: A Machine Learning-Based Perspective

Use of Speech Analysis in Determining Human Affect: A Proof of Concept

Twitter analytics is a classic research area especially with the widespread presence of Big Data in various online media such as—social network sites, online portals for shopping, e-commerce, forums, chats, recommendation systems, and online services. Ascertaining the sentiment behind, the various types of tweets by different persons can provide great insights on various aspects including behavioral patterns. Besides highlighting the newest trends in the field, we retrieved real-time twitter data pertaining to three currently popular hashtags in the Indian context and carried out extensive experimentation analysis about the prevailing sentiment of a strata of population. Inclusion of current challenges, future trends and applications of sentiment analysis from Twitter data makes this novel work very useful for fellow researchers.

Manali Bagul

Papers

A Novel Proof of Concept for Twitter Analytics Using Popular Hashtags: Experimentation and Evaluation