What do customers like about your company? What components are eliciting the most negative feedback? Simultaneously, Twitter sentiment analysis can give useful information for decision making. Twitter sentiment analysis helps you to monitor what people are saying about your product or service on social media and can assist you in detecting irate consumers or unfavorable remarks before they escalate. The extracted sentiments can then be used to generate statistics on the general feeling of a community.
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The objective of opinion mining is to analyze a large amount of data in order to deduce the different feelings expressed in it. This process appeared at the beginning of the 2000s and has become increasingly popular due to the abundance of data coming from social networks, especially those provided by Twitter.
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In natural language processing, opinion mining (also called sentiment analysis) is the analysis of feelings from dematerialized textual sources on large quantities of data (big data). Then, we will log these tweets along with their sentiments in an Airtable base. In order to do that, we will perform a sentiment analysis with Tinq.ai on the latest tweets that contain the Nike keyword. In this tutorial, we will learn how to analyze a twitter feed for a certain brand and understand what is being said about it.įor the sake of this tutorial, we want to know how people feel about Nike. One problem when it comes to analyzing tweets is that it has to be done in real time so that nothing is missed. This is a popular method for organizations to determine and categorize opinions about a product, service, or idea. Sentiment analysis is a Natural Language Processing technique that identifies the emotional tone behind a body of text.
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One of the best methods to do that is to use sentiment analysis. If your brand relies on social media such as Twitter to gauge what customers or the general public think of it, it is crucial to monitor those channels and react accordingly. Twitter is a great tool for tapping into real-time data and expert advice, and Twitter lists are an excellent way of curating topics that matter to you.In order to build a great product, it is important to understand what customers think and want. However, given the volume of tweets, it's not easy to stay on top of the valuable information being shared. What if, instead of having to check Twitter every few hours - or minutes, for the addicts - you could receive a summary of your favorite Twitter lists in your inbox every day? No need to chase news and updates, instead a briefing of all the topics that you care about is delivered to you on-demand in an easily readable format. Sounds like a great time (and scroll) saver. It's super easy, with no code and no Zapier/Make duct tape required.Īs an example of what we'll create, here's how this Twitter list which covers geopolitics looks after it's been summarized and mailed to your inbox: So in this guide we'll walk through the steps to transform Twitter lists into email summaries using Simplescraper's new AI enhance feature and Airtable.
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In this guide we'll use Twitter lists covering Artificial intelligence, Crypto, and OSINT (open-source intelligence) as examples. Of course, you can use your own Twitter list, another person's list, or explore some of the many useful lists that others have created here: Scraping your Twitter lists Here are the lists which have been created by Simplescraper: Each of these topics generate a lot of interesting conversation and news moves fast, so they're ideal candidates for summarization. Now that we've chosen our Twitter lists, the next step is scraping them. Click here to view the Twitter list scrape recipe and save it to your Simplescraper account. Once it's saved, the next step is adding the URLs to the crawler.įirst let's update the URLs so that we can extract the data more easily, and without having to log in to Twitter. When updated the URLs should now look like this: To do that we update the domain, swapping "" for "". Paste these into the crawler on the Simplescraper dashboard and then we're on to the next step. In this step we'll instruct Simplescraper's AI enhance feature to summarize the Twitter lists in the most useful way possible. In the Simplescraper dashboard, click on the AI enhance tab and toggle the activate switch to on. Next, set the run mode to auto and then choose a prompt.