Brand24 | Twitter Sentiment Analysis: How to See Sentiment on Twitter? @brand24 | Uploaded September 2020 | Updated October 2024, 2 hours ago.
Learn how to do sentiment analysis on Twitter — without writing a single line of code! How to analyze Twitter data / Next video: "How to increase engagement and get more followers on Twitter?" youtu.be/biJ0cGRH0Xk
#Brand24 #Twitter #SentimentAnalysis
00:00 Intro
00:29 What is sentiment analysis?
02:01 Sentiment analysis on Twitter
02:32 📑 Check out our review of the top 17 sentiment analysis tools here 👉 bit.ly/Best-Sentiment-Analysis-Tools
02:45 How to view sentiment on Twitter (manually) with Twitter Advanced Search Commands
03:20 #️⃣ This video shows you how to see the number of tweets for a hashtag 👉 bit.ly/How-to-see-the-number-of-tweets-for-a-hashtag
03:48 🤓 How to do Twitter sentiment analysis (no coding necessary!) with an AI-driven sentiment analysis tool like Brand24. Step-by-step instructions here 👉 bit.ly/Twitter-Sentiment-Analysis-Instructions
04:28 How to do Twitter sentiment analysis in Python
Creator & host: Chia-Luen Lee
__________
This week’s video is about sentiment analysis on Twitter. So, I’m going to explain (1) what sentiment analysis is; (2) how to see sentiment on Twitter; (3) and then I’ll show you how to do Twitter sentiment analysis without having to write a single line of code (you don’t need to know any programming languages like Python or R for this).
So, first things first: what is sentiment analysis? Well, sentiment analysis is defined as the process of using natural language processing, text analysis and computational linguistics to identify and categorize the opinions expressed in a piece of text — especially in order to determine the polarity of the expressed opinion, which can be positive, negative or neutral.
In short, sentiment analysis examines human beings and our subjective opinions or feelings on a particular topic. And when we apply that to business or marketing, it helps us understand how these opinions and feelings drive consumer behavior.
Now, human beings are not exactly known for being rational creatures. In fact, in 2017, economist Richard Thaler was awarded the Nobel Prize in Economics for: “his contributions to behavioral economics and his pioneering work in establishing that people are predictably irrational in ways that defy economic theory”.
Basically, we humans are a complicated species, and it’s hard to predict how we’ll behave. I mean, how is there so much controversy over wearing a mask during a pandemic? What makes my cousin support one presidential candidate while I support the other? And why the heck are Crocs so trendy?
You see, people are kinda weird (and that’s what makes us so interesting!) but this is why there are so many books and fields of study dedicated to understanding the driving forces behind human behavior and relationships, such as: psychology, sociology and behavioral economics. Our individual perspectives ensure that every human experience is as subjective as it is relevant.
And this is where sentiment analysis comes in: the beauty of analyzing sentiment is that it can help us identify and make sense of all the differences and similarities that we share — and platforms like Twitter, which is overflowing with sentiment-filled tweets, make this data more accessible than ever. We can see in these live Twitter statistics that nearly 500 million tweets are sent every day. That’s approximately 6,000 tweets per second… each of them expressing opinions and feelings on every topic imaginable. And it only takes seconds to analyze the data from millions of tweets with advanced sentiment analysis tools.
We’ve compiled a current list of the top 17 sentiment analysis tools in a blog post (with a brief review of each tool) and I’m putting a link to it in the Description Box for this video, so you can check that out below to find some good sentiment analysis tools.
Now, before I show you how to automate Twitter sentiment analysis (without having to write any code, like I promised) with a sentiment analysis tool, I’ll quickly go over how to view tweet sentiment manually on Twitter, and you can do this using Twitter Advanced Search commands. It’s really easy: just go to twitter.com and in the search bar, enter your...
... more tips on how to do Twitter sentiment analysis inside the video!
Learn how to do sentiment analysis on Twitter — without writing a single line of code! How to analyze Twitter data / Next video: "How to increase engagement and get more followers on Twitter?" youtu.be/biJ0cGRH0Xk
#Brand24 #Twitter #SentimentAnalysis
00:00 Intro
00:29 What is sentiment analysis?
02:01 Sentiment analysis on Twitter
02:32 📑 Check out our review of the top 17 sentiment analysis tools here 👉 bit.ly/Best-Sentiment-Analysis-Tools
02:45 How to view sentiment on Twitter (manually) with Twitter Advanced Search Commands
03:20 #️⃣ This video shows you how to see the number of tweets for a hashtag 👉 bit.ly/How-to-see-the-number-of-tweets-for-a-hashtag
03:48 🤓 How to do Twitter sentiment analysis (no coding necessary!) with an AI-driven sentiment analysis tool like Brand24. Step-by-step instructions here 👉 bit.ly/Twitter-Sentiment-Analysis-Instructions
04:28 How to do Twitter sentiment analysis in Python
Creator & host: Chia-Luen Lee
__________
This week’s video is about sentiment analysis on Twitter. So, I’m going to explain (1) what sentiment analysis is; (2) how to see sentiment on Twitter; (3) and then I’ll show you how to do Twitter sentiment analysis without having to write a single line of code (you don’t need to know any programming languages like Python or R for this).
So, first things first: what is sentiment analysis? Well, sentiment analysis is defined as the process of using natural language processing, text analysis and computational linguistics to identify and categorize the opinions expressed in a piece of text — especially in order to determine the polarity of the expressed opinion, which can be positive, negative or neutral.
In short, sentiment analysis examines human beings and our subjective opinions or feelings on a particular topic. And when we apply that to business or marketing, it helps us understand how these opinions and feelings drive consumer behavior.
Now, human beings are not exactly known for being rational creatures. In fact, in 2017, economist Richard Thaler was awarded the Nobel Prize in Economics for: “his contributions to behavioral economics and his pioneering work in establishing that people are predictably irrational in ways that defy economic theory”.
Basically, we humans are a complicated species, and it’s hard to predict how we’ll behave. I mean, how is there so much controversy over wearing a mask during a pandemic? What makes my cousin support one presidential candidate while I support the other? And why the heck are Crocs so trendy?
You see, people are kinda weird (and that’s what makes us so interesting!) but this is why there are so many books and fields of study dedicated to understanding the driving forces behind human behavior and relationships, such as: psychology, sociology and behavioral economics. Our individual perspectives ensure that every human experience is as subjective as it is relevant.
And this is where sentiment analysis comes in: the beauty of analyzing sentiment is that it can help us identify and make sense of all the differences and similarities that we share — and platforms like Twitter, which is overflowing with sentiment-filled tweets, make this data more accessible than ever. We can see in these live Twitter statistics that nearly 500 million tweets are sent every day. That’s approximately 6,000 tweets per second… each of them expressing opinions and feelings on every topic imaginable. And it only takes seconds to analyze the data from millions of tweets with advanced sentiment analysis tools.
We’ve compiled a current list of the top 17 sentiment analysis tools in a blog post (with a brief review of each tool) and I’m putting a link to it in the Description Box for this video, so you can check that out below to find some good sentiment analysis tools.
Now, before I show you how to automate Twitter sentiment analysis (without having to write any code, like I promised) with a sentiment analysis tool, I’ll quickly go over how to view tweet sentiment manually on Twitter, and you can do this using Twitter Advanced Search commands. It’s really easy: just go to twitter.com and in the search bar, enter your...
... more tips on how to do Twitter sentiment analysis inside the video!
