{"action":"created","issue":{"url":"https://api.github.com/repos/jsoma/data-studio-projects/issues/203","repository_url":"https://api.github.com/repos/jsoma/data-studio-projects","labels_url":"https://api.github.com/repos/jsoma/data-studio-projects/issues/203/labels{/name}","comments_url":"https://api.github.com/repos/jsoma/data-studio-projects/issues/203/comments","events_url":"https://api.github.com/repos/jsoma/data-studio-projects/issues/203/events","html_url":"https://github.com/jsoma/data-studio-projects/issues/203","id":343871095,"node_id":"MDU6SXNzdWUzNDM4NzEwOTU=","number":203,"title":"[Project] What Patents Reveal about Facebook, Inc.","user":{"login":"christina10211","id":39416156,"node_id":"MDQ6VXNlcjM5NDE2MTU2","avatar_url":"https://avatars0.githubusercontent.com/u/39416156?v=4","gravatar_id":"","url":"https://api.github.com/users/christina10211","html_url":"https://github.com/christina10211","followers_url":"https://api.github.com/users/christina10211/followers","following_url":"https://api.github.com/users/christina10211/following{/other_user}","gists_url":"https://api.github.com/users/christina10211/gists{/gist_id}","starred_url":"https://api.github.com/users/christina10211/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/christina10211/subscriptions","organizations_url":"https://api.github.com/users/christina10211/orgs","repos_url":"https://api.github.com/users/christina10211/repos","events_url":"https://api.github.com/users/christina10211/events{/privacy}","received_events_url":"https://api.github.com/users/christina10211/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-07-24T03:29:00Z","updated_at":"2018-07-28T17:50:06Z","closed_at":null,"author_association":"NONE","body":"# Pitch\r\n\r\nPatents are the new gold for the tech industry, and thus always an invisible battlefield among the tech giants such as Amazon, Facebook,and Google.  However, patents are usually neglected by the public because few people have the interest and time to go over all the patent files full of jargons and sci-fi-type-of-vocabularies. I believe that patents can say a lot about a company, especially its shifting business priorities overtime and even the trend of the whole tech industry. \r\n\r\n## Summary\r\nFor my project, I will collect all Facebook's granted patents information, including patent title, number, abstract, filed date, granted date, assignee, and inventors, and then conduct a text analysis on the titles and abstracts to find the shifting keywords in the patents over time. I will also map the number of patents Facebook are granted (not including pending patents) each year. I might also look into the Amazon patents data and do a comparison between these two tech giants. \r\n\r\n Some ideas on exploring my dataset/bringing in new datasets:\r\n\r\n- How does the number of patents Facebook are granted/applied each year? (This is a potential challenge I am facing, there are two dates related to a granted patent, one is the application date and the other is the granted date. I was wondering which date should use to categorize each patent...Maybe the application date is better if my research focus is on Facebook's R&D side? )\r\n\r\n- What does patent keywords reveal about Facebook's shifting business priorities?\r\n\r\n-Comparison between Facebook's patents and Amazon's patents.\r\n\r\n- How much does Facebook spend on R&D each year? (new data source, potentially)\r\n\r\n## Details\r\n\r\n**Possible headline(s):**  What Patents Reveal about Facebook, inc.\r\n\r\n**Data set(s):** https://patents.justia.com/company/facebook?list=patents\r\n\r\n**Code repository:**  \r\n\t\r\n**Possible problems/fears/questions:** \r\n\r\nMy main challenge will be how to properly conduct the text analysis that we just learned in algorithm class and to categorize the patents by analyzing the abstract and patent title. I went over about 10 patents and there are a huge number of tech jargons which seem to be focusing on quite different fields. For now, the only thing that pops into my mind is to count the word frequency in each year but I am just worried about how to identify the pattern/trend from the word counts (since now I haven't successfully scraped the page yet, I couldn't conduct any further analysis so maybe we will see in few days how the text analysis goes...)\r\n\r\n\r\n## Work so far\r\nFor now, I am still working on the scraping part. The page is a little bit messy so it took me a while to figure out the structure. My ideal keywords analysis will be like this: \r\n\r\n![inspiration_keywords](https://user-images.githubusercontent.com/39416156/43115069-26c0548a-8ed0-11e8-8893-7252bf73ad81.png)\r\n\r\n\r\n\r\n\r\n## Checklist\r\n\r\nThis checklist must be completed before you submit your draft.\r\n\r\n- [ ] I have already spent time with my data set, opening it, exploring it, etc\r\n- [ ] I have created a \"DIARY.md\" file to save links and list all of the terrible, no good problems I come across\r\n- [x] My issue links to my data set(s)\r\n- [ ] My issue links to my code repository\r\n- [x] My issue explains what I'd like to explore in the data set\r\n- [x] My issue includes images - either inspiration or what I've done so far"},"comment":{"url":"https://api.github.com/repos/jsoma/data-studio-projects/issues/comments/408624359","html_url":"https://github.com/jsoma/data-studio-projects/issues/203#issuecomment-408624359","issue_url":"https://api.github.com/repos/jsoma/data-studio-projects/issues/203","id":408624359,"node_id":"MDEyOklzc3VlQ29tbWVudDQwODYyNDM1OQ==","user":{"login":"angelareplica","id":20685568,"node_id":"MDQ6VXNlcjIwNjg1NTY4","avatar_url":"https://avatars3.githubusercontent.com/u/20685568?v=4","gravatar_id":"","url":"https://api.github.com/users/angelareplica","html_url":"https://github.com/angelareplica","followers_url":"https://api.github.com/users/angelareplica/followers","following_url":"https://api.github.com/users/angelareplica/following{/other_user}","gists_url":"https://api.github.com/users/angelareplica/gists{/gist_id}","starred_url":"https://api.github.com/users/angelareplica/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/angelareplica/subscriptions","organizations_url":"https://api.github.com/users/angelareplica/orgs","repos_url":"https://api.github.com/users/angelareplica/repos","events_url":"https://api.github.com/users/angelareplica/events{/privacy}","received_events_url":"https://api.github.com/users/angelareplica/received_events","type":"User","site_admin":false},"created_at":"2018-07-28T17:50:06Z","updated_at":"2018-07-28T17:50:06Z","author_association":"NONE","body":"Excellent topic! Focusing on Facebook's patents will be really interesting, especially since the company's stock value has recently plummeted. This seems like a challenging project, and I'm looking forward to seeing the analyses and visualizations you come up with."}}
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