def main():
myData = Data()
evaluate = Sentiment()
companies = myData.getCompanies()
myScraper = Scraper(companies)
url = str(input("Input a newspaper url: "))
#url = "https://www.marketwatch.com/"
#url = "https://www.cnbc.com/investing/"
#url = "https://www.ccn.com/"
myScraper.getArticleLinks(url)
occurances = myScraper.filterByCompany()
occurances = occurances[:5]
while True:
for occurance in occurances:
name = occurance[0]
num = occurance[1]
if num > 0:
print(name + " has " + str(num) + " articles")
company = str(input("Which company are you interested in: "))
headlines = myScraper.findRelatedArticles(company)
print("We found these articles from the past 7 days: ")
i = 1
for headline in headlines:
print(str(i) + " - " + headline)
i += 1
interest = int(input("Which article would you like to analyze? "))
article = myScraper.relatedArticles[interest - 1]
cleanArticle = myScraper.parseArticle(article.url)
print("The stats of the article are: ")
evaluate.rankSentenceScores(cleanArticle, myData.getBasicDictionary())
