Sentiment analysis algorithms scan millions of comments within seconds to surface deep insights showing the roots of an issue and quantifying customer sentiment. In other words, they take the guesswork out of the equation. In a world where customer loyalty is fickle and competition gains ground ...
Sentiment analysis, also referred to asopinion mining, is an approach to natural language processing (NLP) that identifies the emotional tone behind a body of text. This is a popular way for organizations to determine and categorize opinions about a product, service or idea. Sentiment analysis in...
Context adds complexity to sentiment analysis. For example, the exclamation “nothing!” has considerably different meaning depending on whether the speaker is commenting on what she does or doesn’t like about a product. In order to understand the phrase “I like it” the machine must be able...
This is the big question, and probably the one that is asked the most when people start to question sentiment analysis. Most of the time, you will find that sentiment analysis has an accuracy rating between70% and 80%, which is actually quite impressive considering it is mostly processed by...
For best results, an all-in-one platform is the preferred choice to track performance across all social media accounts such as Twitter analytics, paid Facebook posts or LinkedIn ads. Important metrics to track include the following: Total number of active ads ...
Twittersentiment analysisworld cloudstext mininginformation retrieval.Online trends have established themselves as a new method of information propagation that isreshaping journalism in the digital age. We argue that sentiment analysis—the classification ofhuman emotion expressed in text—can enhance existing...
The better you do Twitter audience analysis, the better you know your Twitter audience, the better content you post. So, it is important to know your community well. For instance, by looking at impressions and engagement rates you can assume whether your community is active, loyal and engaged...
Creation of a news article dataset with reliable media bias measurements.Sentiment and hate speech classification of associated tweets/retweets/comments.Analysis of the relation between news article bias and users' reactions to these articles on Twitter.Evidence showing that Twitter reactions to biased ar...
Practitioners and analysts alike know social media by its many websites and channels: Facebook, YouTube, Instagram, Twitter, LinkedIn, Reddit and many others. Social media analytics is broader than metrics such as likes, follows, retweets, previews, clicks, and impressions gathered from individual...
Sentiment analysis is one of the great accomplishments of the last decade in the field of Language Technologies. In this paper, we explore mining collective sentiment from forum posts in a Massive Open Online Course (MOOC) in order to monitor students’ trending opinions towards the course and ...