kandi X-RAY | Book-SocialMediaMiningPython Summary
kandi X-RAY | Book-SocialMediaMiningPython Summary
Code repository for Mastering Social Media Mining with Python (July 2016). . Ebook and paperback at [Packt Publishing] "Mastering Social Media Mining with Python") (the publisher). Ebook and paperback at [Amazon.com] "Mastering Social Media Mining with Python") and [Amazon UK] "Mastering Social Media Mining with Python"). Author’s [blog post] "Mastering Social Media Mining with Python") for a bird’s eye view on the book. Author profile (with book reviews/ratings) at [Goodreads.com] "Marco Bonzanini on goodreads.com").
Top functions reviewed by kandi - BETA
- Search for people
- Search for videos matching the given query
- Get n posts from a blog
- Process Tweet text
- Make a Folium map
- Get all the posts from a domain
- Extract geo coordinates from a GeoJSON response
- Return an argument parser
- Calculates a matrix of probability density matrix
- Clean post tags
- Create a YelP client
- Get twitter client
- Get Twitter auth object
- Preprocess a text
- Clean the given html string
- Get the keywords for a given document
- Extract hashtag tags from Tweet
- Return a list of user s mentions
- Returns the origin IP address
- Get the user - agent
- Print usage information
- Exit gracefully
Book-SocialMediaMiningPython Key Features
Book-SocialMediaMiningPython Examples and Code Snippets
Trending Discussions on Data Mining
I am working on Pima Indians Diabetes Database in Weka. I noticed that for decision tree J48 the tree is smaller as compared to the Random Tree. I am unable to understand why it is like this? Thank you....
ANSWERAnswered 2022-Feb-21 at 19:57
Though they both are decision trees, they employ different algorithms for constructing the tree, which will (most likely) give you a different outcome:
I tried to extract keywords from a text. By using "en_core_sci_lg" model, I got a tuple type of phrases/words with some duplicates which I tried to remove from it. I tried deduplicate function for list and tuple, I only got fail. Can anyone help? I really appreciate it....
ANSWERAnswered 2022-Feb-09 at 22:08
doc.ents is not a list of strings. It is a list of
Span objects. When you print one, it prints its contents, but they are indeed individual objects, which is why
set doesn't see they are duplicates. The clue to that is there are no quote marks in your print statement. If those were strings, you'd see quotation marks.
You should try using
doc.words instead of
doc.ents. If that doesn't work for you, for some reason, you can do:
ANSWERAnswered 2022-Jan-11 at 13:11
Note: In new code use
find_all() instead of old
findAll() syntax - your html looks not valid
The website has 9 pages and my code just add the last page elements to the list. I want to add all elements for all pages next together in list....
ANSWERAnswered 2022-Jan-10 at 08:27
Code works well, but iterates to fast and elements your looking for are not present in the moment you try to find them.How to fix?
selenium waits to check if elements are present in the DOM:
I have the following dataset...
ANSWERAnswered 2021-Nov-07 at 19:11
You could just use normal sets to get unique customer ids for each year and then subtract them appropriately:
So I have the following dataset :...
ANSWERAnswered 2021-Nov-06 at 11:46
You can split your data frame like this:
I have a pandas dataframe that is in the following format:
This contains the % change in stock prices each day for 3 companies MSFT, F and BAC.
I would like to use a OneClassSVM calculator to detect whether the data is an outlier or not. I have tried the following code, which I believe detects the rows which contain outliers....
ANSWERAnswered 2021-Nov-04 at 09:28
It's not very clear what is
df in your code. I am assuming they are the same data frame.
You can use the result from
svm.predict , here we leave it as blank '' if not outlier:
Now, I also have a testing dataset and I have to make it compatible. But how can I reorder the test attributes in the same manner that can be compatible with the train set?...
ANSWERAnswered 2021-Oct-08 at 00:07
Changing the order of attributes (e.g., when using the Ranker in conjunction with an attribute evaluator) will probably not have much influence on the performance of your classifier model (since all the attributes will stay in the dataset). Removing attributes, on the other hand, will more likely have an impact (for that, use subset evaluators).
If you want the ordering to get applied to the test set as well, then simply define your attribute selection search and evaluation schemes in the AttributeSelectedClassifier meta-classifier, instead of using the Attribute selection panel (that panel is more for exploration).
I need to split pdf files into their chapters. In each pdf, at the beginning of every chapter, I added the word "Hirfar" for which to look and split the text. Consider the following example:...
ANSWERAnswered 2021-Oct-06 at 16:10
We may use regex lookaround
I want to scrape the Athletic Director's information from this page. but the issue is that there is a strong tag that refers to the name and email of every person on the page. I only want an XPath that specifically extracts the exact name and email of the Athletic Director. Here is the link to the website for a better understanding of the code. "https://fhsaa.com/sports/2020/1/28/member_directory.aspx"...
ANSWERAnswered 2021-Aug-26 at 07:41
to get the email id, use this :-
No vulnerabilities reported
You can use Book-SocialMediaMiningPython like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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