PREDICTING RECENT TRENDS USING TWITTER TREND ANALYSIS - Vipul Punjabi
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Twitter is the most popular social media platform for spreading and sharing information. It monitors their user postings to identify the most frequently discussed topics in the movement. These topics are published on a list called "Trending Topics." It depicts what is going on in the world and what people think about it. It does this by utilising a list of top trending topics. Some topics will become popula ... Full description
Description
Twitter is the most popular social media platform for spreading and sharing information. It monitors their user postings to identify the most frequently discussed topics in the movement. These topics are published on a list called "Trending Topics." It depicts what is going on in the world and what people think about it. It does this by utilising a list of top trending topics. Some topics will become popular in the future, while others will not. The desire to forecast which topics will be popular. And then use an algorithm to determine what the most recent opinion on that topic is, which is then used to predict mood. The model in this case employs a machine learning algorithm to classify the sentiment of a Twitter message. For that reason, the collection of tweets preceding that tweet can be found.
More Information
| Author | Vipul Punjabi |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2022 |
| Cover type | Softcover |
| EAN | 9786204745657 |