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BritneyMuller / cnbc_newsfeed.csv
Last active January 4, 2024 05:43
We can make this file beautiful and searchable if this error is corrected: It looks like row 9 should actually have 1 column, instead of 3 in line 8.
Title:
Santoli’s Wednesday market notes: Could September’s stock shakeout tee up strength for the fourth quarter?
My take on the early Brexit winners and losers
Europe's recovery depends on Renzi's Italy
US Moves Closer to Becoming A Major Shareholder In GM
Trump: 'Mission accomplished' on 'perfectly executed' Syria strike
Chevron CEO Watson says he supports Trump on tax reform
European stocks close higher on supportive Fed; Signature Aviation skyrockets 40%
Fewer investors have a 'fear of missing out,' so it may be time to buckle up, market bull suggests
Morgan Stanley Tries to Stave Off Ratings Cut
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BritneyMuller / reddit-keyword-insights.py
Created February 26, 2020 09:18 — forked from pshapiro/reddit-keyword-insights.py
Get stats from reddit keywords
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 = ""
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BritneyMuller / GoogleEntities.ipynb
Created February 26, 2020 09:18 — forked from pshapiro/GoogleEntities.ipynb
Extract Entities from Search Results using Google NLP for Keyword Research Opportunities
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BritneyMuller / YouTube-Playlists-Subtitles.ipynb
Created February 26, 2020 09:18 — forked from pshapiro/YouTube-Playlists-Subtitles.ipynb
Download auto-generated subtitles from a YouTube playlist and do a term frequency analysis
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BritneyMuller / Auto301Redirects.ipynb
Created February 26, 2020 09:16 — forked from pshapiro/Auto301Redirects.ipynb
Automatic 301 Redirects with SpaCy
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BritneyMuller / metadesc.py
Created July 11, 2018 05:14 — forked from pshapiro/metadesc.py
Use Text Summarization Algorithms to Help Aid the Writing of Meta Descriptions
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