Talk:Developing a Web Dashboard for analyzing Amazon's Laptop sales data

How to scrape Amazon Reviews using Python:

• https://www.scrapehero.com/how-to-scrape-amazon-product-reviews/
• https://blog.datahut.co/scraping-amazon-reviews-python-scrapy/

Sentiment analysis on Amazon Reviews using Python

• https://github.com/Maha41/Sentiment-analysis-on-Amazon-Reviews-using-Python
• https://github.com/JagruthiSPrabhudev/Sentiment-Analysis-of-Amazon-review-data

Sentiment Analysis Applications/Dashboards

• https://powerbi.microsoft.com/en-us/partner-showcase/faction-a-sentiment-analysis-dashboard/

https://www.youtube.com/watch?v=R5HkXyAUUII

• http://endemo.finereport.com:8080/webroot/decision#directory

• https://www.csc2.ncsu.edu/faculty/healey/tweet_viz/tweet_app/

• https://vimeo.com/andreitr

• https://www.softwareadvice.com/resources/free-twitter-sentiment-analysis-tools/

• https://blog.flexmr.net/making-sense-of-big-qual-7-of-the-best-text-and-sentiment-analysis-tools

Nice Dashboard examples:

• https://flatlogic.github.io/react-material-admin/#/app/tables
• https://dev.to/sm0ke/react-dashboards-open-source-apps-1c7j
• https://themesdesign.in/upcube/layouts/horizontal/index.html
• https://designrevision.com/demo/shards-dashboard-lite-react/blog-overview
• https://madewithreactjs.com/dashboards
• https://demo.dashboardpack.com/architectui-react-free/#/dashboards/basic

Interactive Python Dashboards with Plotly and Dash

• https://dash-gallery.plotly.host/Portal/?search=%20

• https://dash-gallery.plotly.host/dash-oil-and-gas/

• https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/

• https://dash.plot.ly/react-for-python-developers
• https://dash.plot.ly/plugins
• https://www.youtube.com/watch?v=wifoPPRgG_I

Sentiment analysis with Python

• https://www.udemy.com/course/data-science-natural-language-processing-in-python/

• https://www.udemy.com/course/sentiment-analysis-deep-learning-keras-python/

• https://www.udemy.com/course/natural-language-processing-with-deep-learning-in-python/

Back-end - Flask - DJango

• https://towardsdatascience.com/create-a-complete-machine-learning-web-application-using-react-and-flask-859340bddb33

• https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/

• https://www.udemy.com/course/python-rest-apis-with-flask-docker-mongodb-and-aws-devops/

• https://www.udemy.com/course/rest-api-flask-and-python/

• https://www.udemy.com/course/react-django-full-stack/

• https://www.udemy.com/course/introduction-to-tweepy-python-twitter-library/

• https://www.udemy.com/course/introduction-to-tweepy-python-twitter-library-part-2/

• https://www.udemy.com/course/python-bot-development/

Predicting elections with sentiment analysis

• https://en.wikipedia.org/wiki/List_of_elections_in_2020

• https://medium.com/@stefanobosisio1/sentiment-analysis-to-predict-political-elections-outcome-506284890132

• https://ricochet.com/565273/archives/predicting-elections-using-a-i-and-machine-learning/

• https://link.springer.com/article/10.1007/s40092-017-0238-2

• https://pdfs.semanticscholar.org/fd8b/8e5d4ae127afc71437d39881d69d963ed80a.pdf

• https://medium.com/analytics-vidhya/twitter-sentiment-analysis-for-the-2019-election-8f7d52af1887

• https://www.researchgate.net/publication/280623314_The_machine_learning_in_the_prediction_of_elections

Mapas

• https://www.amcharts.com/demos/multi-series-map/

Most important comments mencioned in class

Comentarios más importante mencionados en las clases. Grahan said the most important points in the Research part and that we need to include in the project at the end of this semester are:

• Research

• Problem / Innovation
• Technologies

• Plan - Timeline

Some concepts can be useful

trading platform