Shiny Web Application for Twitter API Sentiment | NLP with Tidytext

preview_player
Показать описание
What are your customers talking about? Learn exactly that in this amazing Learning Lab covering Twitter Sentiment using NLP with Tidytext.

Table of Contents

00:00 Text Mining and Twitter Sentiment | Shiny Application
4:35 Agenda
6:55 Business Case Study - Brand Intelligence
12:31 Shiny App Demo - Twitter Hashtag Analyzer
17:40 Twitter API in R
22:33 Text Analysis with Tidytext
28:20 Workflow
29:06 Code Demo - Twitter & Text Mining
31:18 Part 1 - Twitter API Code -
- 1.0 Account Setup - 31:45
- 2.0 Search Tweets - 33:41
- 3.0 Stream Tweets - 39:30
- 4.0 (BONUS #1) Geocode Filtering - 40:39
- 5.0 Leaflet Map - 44:44
48:28 Part 2 - Text Mining w/ Tidytext -
- 1.0 Libraries - 48:45
- 2.0 Tidytext - 49:02
- 3.0 Sentiment Analysis - 50:29
- 4.0 Polarity Visualization - 54:04
- 5.0 Wordcloud - 57:10
BONUS #2 - Twitter Hashtag Sentiment App - 59:34
Career Acceleration - How Shiny Helps - 1:02:36
Рекомендации по теме
Комментарии
Автор

Can we have multiple hashtags as well and is there a way we can pull those tweets to download and drill down further? Let’s say within “Coca Cola”, I bucket the tweets into different domains and have some analysis on that? Is it possible to drill down from high level to low level like in tableau?

nishantkumar-lwce
Автор

The twitter API will not let me run search_tweets without upgrading to elevated access... is there any way to get around this?

sharleecrews
Автор

Hey, loved the video, can you share code?

ayeshasayyed
Автор

pity the write_rds function does not work!

hoppybrewologist
welcome to shbcf.ru