Capstone Project 2

• https://www.dataquest.io/blog/build-a-data-science-portfolio/
• https://www.dataquest.io/blog/data-science-portfolio-project/
• https://www.analyticsvidhya.com/blog/2017/10/essential-nlp-guide-data-scientists-top-10-nlp-tasks/#
• https://www.dataquest.io/blog/data-science-portfolio-machine-learning/
• https://www.dataquest.io/blog/how-to-setup-a-data-science-blog/
• https://www.kdnuggets.com/2018/09/5-resources-inspire-data-science-project.html
• http://www.omdbapi.com/
• https://www.imdb.com/interfaces/
• https://datasets.imdbws.com/
• https://stackoverflow.com/questions/1966503/does-imdb-provide-an-api
• Interesting project: https://blog.dataiku.com/whats-in-an-emoji-decoding-millennial-speak-with-data-science
• https://monkeylearn.com/sentiment-analysis/

Passion Project:

• http://trajectorymagazine.com/modern-slavery/

• http://lilt.ics.hawaii.edu/papers/2014/Ibanez-Suthers-HICSS-2014.pdf

• https://siliconangle.com/2016/09/07/algorithms-to-address-child-sexual-exploitation-and-sex-trafficking-interview-with-the-creators-of-spotlight/

• https://memex.jpl.nasa.gov/GTA2018-Sentiment.pdf

• https://www.cs.cmu.edu/~hovy/papers/12dgo-trafficking.pdf

• https://www.lti.cs.cmu.edu/projects/information-extraction-summarization-and-question-answering/combating-human-trafficking

• http://uu.diva-portal.org/smash/get/diva2:846981/FULLTEXT01.pdf

• https://faculty.ist.psu.edu/xu/papers/Chen_etal_SocialCom_2012.pdf

• https://scholarworks.rit.edu/cgi/viewcontent.cgi?referer=https://www.google.com/&httpsredir=1&article=9949&context=theses

• https://www.researchgate.net/publication/317845014_Identifying_child_abuse_through_text_mining_and_machine_learning

• https://ro.ecu.edu.au/cgi/viewcontent.cgi?article=1044&context=asi

• https://www.dmnews.com/channel-marketing/social/news/13055037/facebook-finally-turns-ai-on-terrorist-propaganda

• https://datascientistinsights.com/2016/01/23/using-nlp-and-bayesian-logic-to-automatically-classify-terrorism-events/

• https://cordis.europa.eu/project/rcn/210220/factsheet/en

• https://www.glassdoor.com/Job/nlp-data-scientist-jobs-SRCH_KO0,18.htm

Interesting projects:

• https://nycdatascience.com/blog/student-works/majority-illusion-effect-on-news-through-social-media/
• https://nycdatascience.com/blog/student-works/capstone/fashion-rec/
• https://nycdatascience.com/blog/student-works/spatial-data-science-applied-arcpy-scikit-learn-for-predicting-hotel-room-prices/
• https://nycdatascience.com/blog/student-works/employee-retention-analysis-capstone/
• https://nycdatascience.com/blog/student-works/web-scraping/build-near-real-time-twitter-streaming-analytical-pipeline-scratch-using-spark-aws/
• https://nycdatascience.com/blog/student-works/knowhere-app-automatically-profiling-commute-using-smart-phone-sensor-data/
• https://nycdatascience.com/blog/student-works/book-rating-prediction-recommendation-engine/
• https://nycdatascience.com/blog/student-works/15212/
• https://www.datasciencecentral.com/profiles/blogs/sample-projects-for-data-scientists-in-training
• https://cds.nyu.edu/text-data-speaker-series/'

NLP Projects with Cases:

• Get emails with cases using "Cases with Emails Report" from sfdc and narrow the analysis to the first email that generates the case i.e. the customer query

• https://emerj.com/ai-podcast-interviews/nlp-for-customer-service-how-does-it-work/

• https://spacy.io/

• https://www.expertsystem.com/importance-of-nlp/

• https://blog.insightdatascience.com/how-to-solve-90-of-nlp-problems-a-step-by-step-guide-fda605278e4e

• https://www.answeriq.com/blog/ai-101-the-basics-of-automation-for-customer-support

• https://venturebeat.com/2017/10/18/natural-language-processing-is-improving-automated-customer-support/

• https://www.forbes.com/sites/bernardmarr/2018/04/30/27-incredible-examples-of-ai-and-machine-learning-in-practice/#487532bd7502

• https://blog.aimultiple.com/customer-service-ai/ https://callminer.com/blog/leveraging-natural-language-processing-to-its-fullest/

• https://conferences.oreilly.com/strata/strata-ca-2018/public/schedule/detail/63661

• https://www.kdnuggets.com/2018/08/practitioners-guide-processing-understanding-text-2.html

• https://www.kdnuggets.com/2018/08/practitioners-guide-processing-understanding-text-2.html

Chatbots:

• https://chatbotslife.com/ultimate-guide-to-leveraging-nlp-machine-learning-for-you-chatbot-531ff2dd870c
• https://chatbotslife.com/ultimate-guide-to-leveraging-nlp-machine-learning-for-you-chatbot-531ff2dd870c

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Resources:

• https://courses.lumenlearning.com/boundless-psychology/chapter/introduction-to-language/

• https://en.wikipedia.org/wiki/Lemma_(morphology)

Model Interpretability:

• https://twitter.com/srikanth_vikas/status/1092585613314772992

• https://stackoverflow.com/questions/10401076/difference-between-constituency-parser-and-dependency-parser

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

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

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

• https://realpython.com/python-web-scraping-practical-introduction/

• https://realpython.com/modern-web-automation-with-python-and-selenium/

• https://nycdatascience.com/blog/student-works/web-scraping/scraping-gofundme/