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| − | '''How to scrape Amazon Reviews using Python:'''
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| − | * https://www.scrapehero.com/how-to-scrape-amazon-product-reviews/
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| − | * https://blog.datahut.co/scraping-amazon-reviews-python-scrapy/
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| − | '''Sentiment analysis on Amazon Reviews using Python'''
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| − | * https://github.com/Maha41/Sentiment-analysis-on-Amazon-Reviews-using-Python
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| − | * https://github.com/JagruthiSPrabhudev/Sentiment-Analysis-of-Amazon-review-data
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| − | '''Sentiment Analysis Applications/Dashboards'''
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| − | * https://powerbi.microsoft.com/en-us/partner-showcase/faction-a-sentiment-analysis-dashboard/
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| − | :: https://www.youtube.com/watch?v=R5HkXyAUUII
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| − | * http://endemo.finereport.com:8080/webroot/decision#directory
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| − | * https://www.csc2.ncsu.edu/faculty/healey/tweet_viz/tweet_app/
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| − | * https://vimeo.com/andreitr
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| − | * https://www.softwareadvice.com/resources/free-twitter-sentiment-analysis-tools/
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| − | * https://blog.flexmr.net/making-sense-of-big-qual-7-of-the-best-text-and-sentiment-analysis-tools
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| − | '''Nice Dashboard examples:'''
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| − | * https://flatlogic.github.io/react-material-admin/#/app/tables
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| − | * https://dev.to/sm0ke/react-dashboards-open-source-apps-1c7j
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| − | * https://themesdesign.in/upcube/layouts/horizontal/index.html
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| − | * https://designrevision.com/demo/shards-dashboard-lite-react/blog-overview
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| − | * https://madewithreactjs.com/dashboards
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| − | * https://demo.dashboardpack.com/architectui-react-free/#/dashboards/basic
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| − | '''Interactive Python Dashboards with Plotly and Dash'''
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| − | * https://dash-gallery.plotly.host/Portal/?search=%20
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| − | :* https://dash-gallery.plotly.host/dash-oil-and-gas/
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| − | * https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/
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| − | * https://dash.plot.ly/react-for-python-developers
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| − | * https://dash.plot.ly/plugins
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| − | * https://www.youtube.com/watch?v=wifoPPRgG_I
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| − | '''Sentiment analysis with Python'''
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| − | * https://www.udemy.com/course/data-science-natural-language-processing-in-python/
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| − | * https://www.udemy.com/course/sentiment-analysis-deep-learning-keras-python/
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| − | * https://www.udemy.com/course/natural-language-processing-with-deep-learning-in-python/
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| − | '''Back-end - Flask - DJango'''
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| − | * https://towardsdatascience.com/create-a-complete-machine-learning-web-application-using-react-and-flask-859340bddb33
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| − | * https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
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| − | * https://www.udemy.com/course/python-rest-apis-with-flask-docker-mongodb-and-aws-devops/
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| − | * https://www.udemy.com/course/rest-api-flask-and-python/
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| − | * https://www.udemy.com/course/react-django-full-stack/
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| − | * https://www.udemy.com/course/introduction-to-tweepy-python-twitter-library/
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| − | * https://www.udemy.com/course/introduction-to-tweepy-python-twitter-library-part-2/
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| − | * https://www.udemy.com/course/python-bot-development/
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| − | '''Predicting elections with sentiment analysis'''
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| − | * https://en.wikipedia.org/wiki/List_of_elections_in_2020
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| − | * https://medium.com/@stefanobosisio1/sentiment-analysis-to-predict-political-elections-outcome-506284890132
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| − | * https://ricochet.com/565273/archives/predicting-elections-using-a-i-and-machine-learning/
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| − | * https://link.springer.com/article/10.1007/s40092-017-0238-2
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| − | * https://pdfs.semanticscholar.org/fd8b/8e5d4ae127afc71437d39881d69d963ed80a.pdf
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| − | * https://medium.com/analytics-vidhya/twitter-sentiment-analysis-for-the-2019-election-8f7d52af1887
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| − | * https://www.researchgate.net/publication/280623314_The_machine_learning_in_the_prediction_of_elections
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| − | '''Mapas'''
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| − | * https://www.amcharts.com/demos/multi-series-map/
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| − | <br />
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| − | ==Most important comments mencioned in class==
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| − | 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:
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| − | * Research
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| − | :* Problem / Innovation
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| − | :* Technologies
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| − | * Plan - Timeline
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| − | <br />
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| − | ==Some concepts can be useful==
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| − | trading platform
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| − | <br />
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