Könyv PREDICTING RECENT TRENDS USING TWITTER TREND ANALYSIS Vipul Punjabi

PREDICTING RECENT TRENDS USING TWITTER TREND ANALYSIS

Szerző: Vipul Punjabi
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
15 264 Ft
Twitter is the most popular social media platform for spreading and sharing information. It monitors...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2022
oldal
72
EAN
9786204745657
ISBN
6204745654
Enbook ID
38998390
Súly
125
Méretek
150 x 220 x 4

Teljes leírás

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.

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