dsottimano

//serpApiKey from serpapi.com

var GLOBAL_VARIABLES = {
  
  serpApiKey : "add your api key"  
}

/*
/***************************
/BEGIN PRESENTATION SCRIPTS

natzir

pshapiro

jroakes

Machine Learning Repository for SEO

SEO is a field that is rich with data, yet many young SEOs may not be equipped to learn tools that will prepare them for the future. We want to support our community by using our expertise to provide access to more advanced tools that will allow SEOs of all levels to play with the technologies that will shape the future of our work.

Objectives

• Provide a repositiory that makes it possible to learn about ML specifically targeted to those interested in SEO
• Provide a repository that allows a novice user to run a simple model on something meaningful for SEO.
• Provide a repository that allows advanced users to save time on data getting, cleaning, preprocessing, and model selection.
• Allow users to showcase work and models developed.
• Have users get involved with the future development of the repo.

BritneyMuller

import csv
import os
from sumy.parsers.html import HtmlParser
from sumy.parsers.plaintext import PlaintextParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.summarizers.lsa import LsaSummarizer as Lsa
from sumy.summarizers.luhn import LuhnSummarizer as Luhn
from sumy.summarizers.text_rank import TextRankSummarizer as TxtRank
from sumy.summarizers.lex_rank import LexRankSummarizer as LexRank
from sumy.summarizers.sum_basic import SumBasicSummarizer as SumBasic

pshapiro

import praw
import csv
import datetime

# Create an app: https://www.reddit.com/prefs/apps
# Use http://localhost:8080 as redirect uri
username = ""
password = ""
clientid = ""
clientsecret = ""

pshapiro

# library imports

import pandas as pd
from bokeh.io import output_notebook, show
from bokeh.plotting import figure, output_file, ColumnDataSource
from bokeh.models import HoverTool, BoxAnnotation, BoxSelectTool, BoxZoomTool, WheelZoomTool, ResetTool
from bokeh.resources import CDN
from bokeh.embed import file_html

# Import csv into pandas dataframe, direct to KNIME version to follow