Please help with the sentiment analysis API for public comments and mining of the same. how to best handle such large comments with the Text Analytics?
Opinion mining is a feature of Sentiment Analysis please follow the below for sentiment analysis.
https://azure.microsoft.com/en-us/updates/opinion-mining-is-now-available-in-text-analytics-in-public-preview/
https://learn.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentiment-analysis?tabs=version-3#opinion-mining
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I am attempting to use rvest to scrape data from a public health website. When I checked whether the site could be scraped:
robotstxt::paths_allowed('https://cityofcambridge.shinyapps.io/COVID19/')
returned FALSE. It would make my colleague's daily copy/paste steps much less error-prone and less of a drudgery if I could get her the data she needs in R. Unfortunately, some of the daily data she needs is not retrievable from the site after the day is past.
Is there a way of getting around the web scraping restriction? This is a public health website with a stated purpose of providing data to the public, run by the city of Cambridge public health department. I don't see an ethical concern here, but perhaps I am not understanding this.
I am somewhat experienced in R, especially the tidyverse, and new to web scraping. Thanks for any help.
I am trying to extract the table from the website: https://fantasy.premierleague.com/statistics?fbclid=IwAR1vShDx0eEefTus-dcxA6anpurcmxz2p4fKHcq1uu9xLj54BYhdpF4pxvc
but it gives 0 elements. Can you please help me?
Thank you in advance.
This is best done using the fantasy premier league API. Go here for more info on the API link: https://www.reddit.com/r/FantasyPL/comments/c64rrx/fpl_api_url_has_been_changed/
Using an API in R will require you to do some research, but have a look at the fromJSON() function in the jsonlite package.
This should be enough to get you started, let me know if you have more questions.
I am new to R. I am willing to import Kaggle data into R. I know that python has an inbuilt Kaggle API, that enables coder to pull the data.
Can I perform the similar task using R?
I don't believe one exists for R. See this thread here.
Most authors use Text analytics and Text mining interchangeably, But I think there is a distinction between this. Can any body briefly describe there difference?
Although both of the terms can be used interchangeably sometimes. Still one of the main difference is that mining follows analytics. Text analytics is a superset of text mining. Text mining involves cleaning, extraction and transformation of unstructured text into a structured form of database for computation. While text analytics is a process of applying the statistical algorithms on mined text for the extraction of knowledge. Text analytics is a product of text mining.
For detailed information: Visit https://www.educba.com/text-mining-vs-text-analytics/
Text mining and text analytics are near synonyms for all practical purposes. A difference is that both terms are used in different contexts by different people. Text analytics is mostly used in a business context, whereas text mining is more of an academic term. The same applies for data mining and data analytics.
I am trying to use R to scrape the whole conversation thread of a twitter status. I am exploring rtweet, which is the latest package for extracting twitter data in R. I could not not find any. I wonder if anybody could help
Thanks