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Sentiment Analysis of Facebook

Facebook sentiment analysis is the automated process of understanding a personu2019s opinion about a particular subject based on a comment or post. When you canu2019t figure out the emotion that fueled a customeru2019s written response, you run the risk of staring at the same words for hours on end. Thankfully, thatu2019s where sentiment analysis comes in. Using AI technology, sentiment analysis can interpret customeru2019s feelings by using natural language processing models.<br><br>

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Sentiment Analysis of Facebook

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  1. Facebook Sentiment Analysis - Posts & Comments www.yourteaminindia.com

  2. Table of Content • How Does Sentiment Analysis of Facebook Posts Work? • Repustate’s Sentiment Analysis Dashboard • How Can You Choose The Best Sentiment Analysis Tool for Facebook Posts? • What Are the Benefits of Using Sentiment Analysis for Facebook?

  3. Overview Facebook sentiment analysis is the automated process of understanding a person’s opinion about a particular subject based on a comment or post. When you can’t figure out the emotion that fueled a customer’s written response, you run the risk of staring at the same words for hours on end. Thankfully, that’s where sentiment analysis comes in. Using AI technology, sentiment analysis can interpret customer’s feelings by using natural language processing models.

  4. How Does Sentiment Analysis of Facebook Posts Work?

  5. Repustate’s Sentiment Analysis Dashboard

  6. How Can You Choose The Best Sentiment Analysis Tool for Facebook Posts?

  7. The best Facebook sentiment analysis tool should be accurate, quick, and scalable, as it analyses thousands of comments through social media listening. It should understand different languages while interpreting accurate sentiment scores for each entity extracted. This is possible only if it knows each language natively, like Repustate’s solution does, without the need for translations. Below are ten essential requirements the best Facebook sentiment analysis tool should have. • Speed and Scale: The sentiment analysis solution should be able to process at least 500 posts per second, and scale to more than 100,000+. • Accuracy: This is an important aspect that is needed to truly gauge sentiment. As a model is trained, the accuracy scores increase, but what is also important is that accuracy is maintained as the data scales. • Aspect-Based Analysis: The sentiment analysis model needs to robustly extract aspects from entities and topics and analyse them for emotions. Only then can you get the most granular customer insights.

  8. What Are the Benefits of Using Sentiment Analysis for Facebook?

  9. Facebook is one of the largest social media networks in the world. It allows you to connect with current customers and potential leads. You can use user-generated content to continue improving your business, and stay on top of new trends. With sentiment analysis on facebook, you can: • Keep Tabs on Your Brand Reputation: Sentiment analysis can chart customers’ feelings for your products or services so you can observe growth over time • Avoid Negative PR: Analysing sentiment can warn you if something negative associated with your brand pops up, so you aren’t caught backtracking when it’s too late • Offer Better Customer Service: People usually only post about things they really love or hate, so if someone posts a negative review, you’ll have the opportunity to review what you can improve. Learn how Amazon review analysis is helping companies offer better customer service.

  10. Thank you! Understand your data, customers, & employees with 12X the speed and accuracy. Visit: www.repustate.com to learn more

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