M Rajasekhara Babu
Biographic Data
| ID | 8423778 |
|---|---|
| NAME | M Rajasekhara Babu |
| GIVEN NAMES | M Rajasekhara |
| FAMILY NAME | Babu |
| SIGNATURE | BABU M R |
| AFFILIATIONS | Vellore Institute of Technology University |
| ORCID | 0000-0002-3557-1917 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
An Emoticon-Based Novel Sarcasm Pattern Detection Strategy to Identify Sarcasm in Microblogging Social Networks
Online social networks are one of the prime modes of communication used by people to voice their opinions and sentiments, especially after the advancement of digital gadgets and overall technology. Mining such sentiments and analyzing the polarity of user opinions is a trending research issue with high business value. Identifying, detecting, and understanding sarcasm is an important topic in the field of sentiment analysis. Despite being complex …
Food security and its determinants
Andhra Pradesh is one of the largest states in India in terms of population. But, food insecurity is of common phenomenon both in developed and developing states. The present paper endeavors to study household food security and its determinants in south coastal region (Guntur district), Andhra Pradesh. A primary survey was conducted with structured schedules to collect data from 200 sample BPL households based on random sampling technique. The da…
No prominent works on this page.
Food security and its determinants
Andhra Pradesh is one of the largest states in India in terms of population. But, food insecurity is of common phenomenon both in developed and developing states. The present paper endeavors to study household food security and its determinants in south coastal region (Guntur district), Andhra Pradesh. A primary survey was conducted with structured schedules to collect data from 200 sample BPL households based on random sampling technique. The da…
An Emoticon-Based Novel Sarcasm Pattern Detection Strategy to Identify Sarcasm in Microblogging Social Networks
Online social networks are one of the prime modes of communication used by people to voice their opinions and sentiments, especially after the advancement of digital gadgets and overall technology. Mining such sentiments and analyzing the polarity of user opinions is a trending research issue with high business value. Identifying, detecting, and understanding sarcasm is an important topic in the field of sentiment analysis. Despite being complex …
Agriculture (1 works) · Artificial Intelligence (1 works) · Caste (1 works) · Child Nutrition and Water Access (1 works) · Computer Science (1 works) · Demography (1 works) · Demography (1 works) · Digital Communication and Language (1 works) · Economics (1 works) · Food insecurity (1 works)