Covid-19 public sentiment insights and machine learning for tweets classification
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …
Feeling positive about reopening? New normal scenarios from COVID-19 US reopen sentiment analytics
The Coronavirus pandemic has created complex challenges and adverse circumstances.
This research identifies public sentiment amidst problematic socioeconomic consequences …
This research identifies public sentiment amidst problematic socioeconomic consequences …
[PDF][PDF] Public sentiment analysis on Twitter data during COVID-19 outbreak
MA Kausar, A Soosaimanickam… - International Journal of …, 2021 - academia.edu
The COVID-19 pandemic, is also known as the coronavirus pandemic, is an ongoing serious
global problem all over the world. The outbreak first came to light in December 2019 in …
global problem all over the world. The outbreak first came to light in December 2019 in …
Socioeconomic factors analysis for COVID-19 US reopening sentiment with Twitter and census data
Investigating and classifying sentiments of social media users (eg, positive, negative)
towards an item, situation, and system are very popular among researchers. However, they …
towards an item, situation, and system are very popular among researchers. However, they …
Public perceptions of COVID-19 vaccines: Policy implications from US spatiotemporal sentiment analytics
There is a compelling and pressing need to better understand the temporal dynamics of
public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for …
public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for …
Feeling like it is time to reopen now? covid-19 new normal scenarios based on reopening sentiment analytics
The Coronavirus pandemic has created complex challenges and adverse circumstances.
This research discovers public sentiment amidst problematic socioeconomic consequences …
This research discovers public sentiment amidst problematic socioeconomic consequences …
Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content …
An understudied area in the field of social media research is the design of decision support
systems that can aid the manager by way of automated message component generation …
systems that can aid the manager by way of automated message component generation …
A picture for the words! textual visualization in big data analytics
Data Visualization has become an important aspect of big data analytics and has grown in
sophistication and variety. We specifically identify the need for an analytical framework for …
sophistication and variety. We specifically identify the need for an analytical framework for …
Twitter and census data analytics to explore socioeconomic factors for post-covid-19 reopening sentiment
Investigating and classifying sentiments of social media users towards an item, situation,
and system are very popular among the researchers. However, they rarely discuss the …
and system are very popular among the researchers. However, they rarely discuss the …
When the going gets tough, the tweets get going! An exploratory analysis of tweets sentiments in the stock market
Abstract Information artifacts in social media can have significant impact on domains and
subject matter opinions. Asset prices, stock prices and volumes, and metrics are influenced …
subject matter opinions. Asset prices, stock prices and volumes, and metrics are influenced …