1. Sentiment Analysis of Social Netizens
Christina Daquieno

2. Why are Tweets relevant?
The United States is the top country with 67% of the overall Twitter usage
Over 68 million people in the United States have a twitter account.
That is about 20% of the country.
Users range in age, gender and race.
The two states with the most active twitter users are California and Texas.
African Americans have been shown to typically prefer Twitter to any other social media with 25%
50% of users make one hundred thousand or more a year

4. Abstract
Sentiment analysis and opinion mining have a wide set of applications in businesses, politics and healthcare to understand the stakeholders. In this study, we analyze the mood and emotions of citizens in the United States, applying the sentiment analysis on a large-scale social network data. The geographic, temporal and topical analyses may bring many insights on understanding population level emotions of citizens. We employ Data Science methods to collect the twitter datasets collected using Twitters API and analyze them using the sentiment analysis package Syuzhet in R Studio. We determine the emotions of the people in each state. Social Media now allows us to have a large form of opinionated data for analysis. The dataset used in this study is a collection of Tweets consisting of personal thoughts, opinions or just a simple emoji. The data from Twitter allows getting different opinions from all social and interest groups. This helps prevent bias when running the sentiment analysis. The sentiment analysis classifies each tweet into negative and positive emotional categories. The machine classified tweets are then visualized according to the location of the tweets to a map to show the positive and negative emotional scales in each state of the US. The temporal analysis and topical analyses will reveal population level feelings related to residence, and their prominent linguistic expressions.

5. Monday
Saturday
Wednesday

6. Business Needs Relate sentiment to purchasing habits
Can use data to determine best selling areas for a product
Help public officials pinpoint specific complaints
Allow people in their community to see what common complaints may be
Marketing strategy approaches
Determine real estate values based on community
MY Purpose: Marketing and relating “Well Being” methodology

7. Implementation
Using Rstudio to get twitter API authorization and stream tweets
Use a sentiment analysis to label a tweet positive or negative represented by a 0 or 1
Using the longitude and latitude of the tweets to plot them on a map of the country
Taking the map findings to relate to that specific area
Compare sentiment to Census map
Creating apps using shiny server and VPC(virtual private cloud ) to upload onto shinyapps.io

9. The Tweets being stream get directed into a text file
The Tweets being stream get directed into a text file. These tweets are not filtered are parsed.

10. Results
Overall map consist of 30,000 tweets.Tweets were streamed randomly over a period of three months.The map depicts more positive sentiment then negative.This is also represented in the word cloud.The top used words being like,love and good.

11. Gallup-sharecare well being index
Well being rank
Emotional & Physical Well-Being - Total Points: 50
Emotional-Health Index: Half Weight (~1.85 Points)
Sentiment rank

12. Light is least happy
Light is happiest

13. Current Events
The Stoneman Douglas high school shooting and the YouTube headquarters. After the shooting in Florida the state change was minimal. It became a very slight darker blue. Which I would say was the most change I have seen since the beginning. It showed how active people were about reporting such a negative event oppose to positive such as the Super Bowl. It did not seem to be affected by race either.
Maps created based on most recent Census

14. Marketing
One of the most influential companies on Twitter is Whole foods. This is determined by how good the company interacts with customers via Twitter. Also how many people click on ads and view. They have 4.8 mil followers. Colorado and Massachusetts are where they have the most locations.This is based on store to population ratio. Both states however can be seen as more towards the negative .Research has found that Negative moods with a good deal may enhance the compulsive buying tendencies . So this can suggest that Whole Foods sales are considered good to the target customer. Also that the idea of negativity can bring about compulsive buying.
This can be also emphasized in the study that shows words with negative connotations tend to attract more clicks and opens.the headlines with negative superlatives had a staggering 63% higher CTR than that of their positive counterparts.
“The most startling truth is we don’t even think our way to logical solutions. We feel our way to reason. Emotions are the substrate, the base layer of neural circuitry underpinning even rational deliberation. Emotions don’t hinder decisions. They constitute the foundation on which they’re made!”

15. Apps Homepage