Sentiment Analysis using NLTK and beautifulsoup - list

I'm working on a personal project where I'm thinking of doing sentiment analysis using NLTK and Vader to compare presidential speeches.
I was able to use beautiful soup to find one of George Washington's speeches and I managed to put the speech in a list. But after that, I'm not really sure the best way to go further. It seems that it's typical for the file to be read from a text file but I have the brackets that have the list which make it difficult. I'm not sure if I should store the web scraped speech in a file or just work at from the list. Or maybe I should put the speech into a dataframe already? I'm not too sure.
from bs4 import BeautifulSoup
import requests
import spacy
import pandas as pd
page_link = 'https://www.ourdocuments.gov/doc.php?flash=false&doc=11&page=transcript'
page_response = requests.get(page_link, timeout=5)
page_content = BeautifulSoup(page_response.content, "html.parser")
textContent = []
for i in range(0, 7):
paragraphs = page_content.find_all("p")[i].text
textContent.append(paragraphs)
toWrite = open('washington.txt', 'w')
line = textContent
toWrite.write(str(line))
toWrite.close()
Any help or pointers would be greatly appreciated.

You can seek help from this article...Do check.
https://towardsdatascience.com/basic-binary-sentiment-analysis-using-nltk-c94ba17ae386

Related

Issue scraping website with bs4 (beautiful soup) python 2.7

What I am attempting to accomplish is a simple python web scraping script for google trends and running into an issue when grabbing the class
from bs4 import BeautifulSoup
import requests
results = requests.get("https://trends.google.com/trends/trendingsearches/daily?geo=US")
soup = BeautifulSoup(results.text, 'lxml')
keyword_list = soup.find_all('.details-top')
for keyword in keyword_list:
print(keyword)
When printing tag I receive and empty class however when I print soup I receive the entire HTML document. My goal is to print out the text of each "Keyword" that was searched for the page https://trends.google.com/trends/trendingsearches/daily?geo=AU
this has a list of results:
1. covid-19
2.Woolworths jobs
If you use google developer options select inspect and hover over the title you will see div.details-top.
how would I just print the text of the title of each
I can see that data being dynamically retrieved from an API call in the dev tools network tab. You can issue an xhr to that url then use regex on the response text to parse out the query titles.
import requests, re
from bs4 import BeautifulSoup as bs
r = requests.get('https://trends.google.com/trends/api/dailytrends?hl=en-GB&tz=0&geo=AU&ns=15').text
p = re.compile(r'"query":"(.*?)"')
titles = p.findall(r)
print(titles) # 2.7 use print titles

Soup.find and findAll unable to find table elements on hockey-reference.com

I'm just a beginner at webscraping and python in general so I'm sorry if the answer is obvious, but I can't figure out I'm unable to find any of the table elements on https://www.hockey-reference.com/leagues/NHL_2018.html.
My initial thought was that this was a result of the whole div being commented out, so following some advice I found on here in another similar post, I replaced the comment characters and confirmed that they were removed when I saved the soup.text to a text file and searched. I was still unable to find any tables however.
In trying to search a little further I took the ID out of my .find and did a findAll and still table was coming up empty.
Here's the code I was trying to use, any advice is much appreciated!
import csv
import requests
from BeautifulSoup import BeautifulSoup
import re
comm = re.compile("<!--|-->")
url = 'https://www.hockey-reference.com/leagues/NHL_2018.html'
response = requests.get(url)
html = response.content
soup = BeautifulSoup(comm.sub("", html))
table = soup.find('table', id="stats")
When searching for all of the table elements I was using
table = soup.findAll('table')
I'm also aware that there is a csv version on the site, I was just eager to practice.
Give a parser along with your markup, for example BeautifulSoup(html,'lxml') . Try the below code
url = 'https://www.hockey-reference.com/leagues/NHL_2018.html'
response = requests.get(url)
html = response.content
soup = BeautifulSoup(html,'lxml')
table = soup.findAll('table')

Regular expression to find precise pdf links in a webpage

Given url='http://normanpd.normanok.gov/content/daily-activity', the website has three types of arrests, incidents, and case summaries. I was asked to use regular expressions to discover the URL strings of all the Incidents pdf documents in Python.
The pdfs are to be downloaded in a defined location.
I have gone through the link and found that Incident pdf files URLs are in the form of:
normanpd.normanok.gov/filebrowser_download/657/2017-02-19%20Daily%20Incident%20Summary.pdf
I have written code :
import urllib.request
url="http://normanpd.normanok.gov/content/daily-activity"
response = urllib.request.urlopen(url)
data = response.read() # a `bytes` object
text = data.decode('utf-8')
urls=re.findall(r'(\w|/|-/%)+\sIncident\s(%|\w)+\.pdf$',text)
But in the URLs list, the values are empty.
I am a beginner in python3 and regex commands. Can anyone help me?
This is not an advisable method. Instead, use an HTML parsing library like bs4 (BeautifulSoup) to find the links and then only regex to filter the results.
from urllib.request import urlopen
from bs4 import BeautifulSoup
import re
url="http://normanpd.normanok.gov/content/daily-activity"
response = urlopen(url).read()
soup= BeautifulSoup(response, "html.parser")
links = soup.find_all('a', href=re.compile(r'(Incident%20Summary\.pdf)'))
for el in links:
print("http://normanpd.normanok.gov" + el['href'])
Output :
http://normanpd.normanok.gov/filebrowser_download/657/2017-02-23%20Daily%20Incident%20Summary.pdf
http://normanpd.normanok.gov/filebrowser_download/657/2017-02-22%20Daily%20Incident%20Summary.pdf
http://normanpd.normanok.gov/filebrowser_download/657/2017-02-21%20Daily%20Incident%20Summary.pdf
http://normanpd.normanok.gov/filebrowser_download/657/2017-02-20%20Daily%20Incident%20Summary.pdf
http://normanpd.normanok.gov/filebrowser_download/657/2017-02-19%20Daily%20Incident%20Summary.pdf
http://normanpd.normanok.gov/filebrowser_download/657/2017-02-18%20Daily%20Incident%20Summary.pdf
http://normanpd.normanok.gov/filebrowser_download/657/2017-02-17%20Daily%20Incident%20Summary.pdf
But if you were asked to use only regexes, then try something simpler:
import urllib.request
import re
url="http://normanpd.normanok.gov/content/daily-activity"
response = urllib.request.urlopen(url)
data = response.read() # a `bytes` object
text = data.decode('utf-8')
urls=re.findall(r'(filebrowser_download.+?Daily%20Incident.+?\.pdf)',text)
print(urls)
for link in urls:
print("http://normanpd.normanok.gov/" + link)
Using BeautifulSoup this is an easy way:
soup = BeautifulSoup(open_page, 'html.parser')
links = []
for link in soup.find_all('a'):
current = link.get('href')
if current.endswith('pdf') and "Incident" in current:
links.append('{0}{1}'.format(url,current))

Scraping urls from html, save in csv using BeautifulSoup

I'm trying to save all hyperlinked urls in an online forum in a CSV file, for a research project.
When I 'print' the html scraping result it seems to be working fine, in the sense that it prints all the urls I want, but I'm unable to write these to separate rows in the CSV.
I'm clearly doing something wrong, but I don't know what! So any help will be greatly appreciated.
Here's the code I've written:
import urllib2
from bs4 import BeautifulSoup
import csv
import re
soup = BeautifulSoup(urllib2.urlopen('http://forum.sex141.com/eforum/forumdisplay.php? fid=28&page=5').read())
urls = []
for url in soup.find_all('a', href=re.compile('viewthread.php')):
print url['href']
csvfile = open('Ss141.csv', 'wb')
writer = csv.writer(csvfile)
for url in zip(urls):
writer.writerow([url])
csvfile.close()
You do need to add your matches to the urls list:
for url in soup.find_all('a', href=re.compile('viewthread.php')):
print url['href']
urls.append(url)
and you don't need to use zip() here.
Best just write your urls as you find them, instead of collecting them in a list first:
soup = BeautifulSoup(urllib2.urlopen('http://forum.sex141.com/eforum/forumdisplay.php?fid=28&page=5').read())
with open('Ss141.csv', 'wb') as csvfile:
writer = csv.writer(csvfile)
for url in soup.find_all('a', href=re.compile('viewthread.php')):
writer.writerow([url['href']])
The with statement will close the file object for you when the block is done.

Read multilanguage strings from html via Python 2.7

I am new in python 2.7 and I am trying to extract some info from html files. More specifically, I wand to read some text information that contains multilanguage information. I give my script hopping to make things more clear.
import urllib2
import BeautifulSoup
url = 'http://www.bbc.co.uk/zhongwen/simp/'
page = urllib2.urlopen(url).read().decode("utf-8")
dom = BeautifulSoup.BeautifulSoup(page)
data = dom.findAll('meta', {'name' : 'keywords'})
print data[0]['content'].encode("utf-8")
the result I am taking is
BBCϊ╕φόΨΘύ╜ΣΎ╝Νϊ╕╗ώκ╡Ύ╝Νbbcchinese.com, email news, newsletter, subscription, full text
The problem is in the first string. Is there any way to print what exactly I am reading? Also is there any way to find the exact encoding of the language of each script?
PS: I would like to mention that the site selected totally randomly as it is representative to the problem I am encountering.
Thank you in advance!
You have problem with the terminal where you are outputting the result. The script works fine and if you output data to file you will get it correctly.
Example:
import urllib2
from bs4 import BeautifulSoup
url = 'http://www.bbc.co.uk/zhongwen/simp/'
page = urllib2.urlopen(url).read().decode("utf-8")
dom = BeautifulSoup(page)
data = dom.findAll('meta', {'name' : 'keywords'})
with open("test.txt", "w") as myfile:
myfile.write(data[0]['content'].encode("utf-8"))
test.txt:
BBC中文网,主页,bbcchinese.com, email news, newsletter, subscription, full text
Which OS and terminal you are using?