How to loop over a text file (to remove tags and normalize) using Python
S Monzur
sb.monzur at gmail.com
Tue Mar 9 22:35:06 EST 2021
Thanks! I ended up using beautiful soup to remove the html tags and create
three lists (titles of article, publications dates, main body) but am still
facing a problem where the list is not properly storing the main body.
There is something wrong with my code for that section, and any comment
would be really helpful!
ListFile Text
<https://drive.google.com/file/d/1V3s8w8a3NQvex91EdOhdC9rQtCAOElpm/view?usp=sharing>
BeautifulSoup code for removing tags <https://pastebin.com/qvbVMUGD>
On Wed, Mar 10, 2021 at 4:32 AM Dan Ciprus (dciprus) <dciprus at cisco.com>
wrote:
> No problem, list just converts everything into plain/txt which is GREAT !
> :-)
>
> So without digging deeply into what you need to do: I am assuming that
> your
> input contains html tags. Why don't you utilize lib like:
> https://pypi.org/project/beautifulsoup4/ instead of doing harakiri with
> parsing
> data without using regex ? Just a hint ..
>
> On Wed, Mar 10, 2021 at 04:22:19AM +0600, S Monzur wrote:
> > Thank you and apologies! I did not realize how jumbled it was at the
> > receiver's end.
> > The code is now at this site : [1]https://pastebin.com/wSi2xzBh
> > I'm basically trying to do a few things with my code-
> >
> > 1. Extract 3 strings from the text- title, date and main text
> >
> > 2. Remove all tags afterwards
> >
> > 3. Save in a dictionary, with three keys- title, date and bodytext.
> >
> > 4. Remove punctuation and stopwords (I've used a user generated
> function
> > for that).
> >
> > I've been able to do all of these steps for the file
> [2]ListFileReduced,
> > as shown in the code (although it's clunky).
> >
> > But, I would like to be able to do it for the other text file:
> [3]ListFile
> > which has more articles. I used BeautifulSoup to scrape the data from
> the
> > website, and then generated a list that I saved as a text file.
> >
> > Best,
> > Monzur
> > On Wed, Mar 10, 2021 at 4:00 AM Dan Ciprus (dciprus)
> > <[4]dciprus at cisco.com> wrote:
> >
> > If you could utilized pastebin or similar site to show your code, it
> > would help
> > tremendously since it's an unindented mess now and can not be read
> > easily.
> >
> > On Wed, Mar 10, 2021 at 03:07:14AM +0600, S Monzur wrote:
> > >Dear List,
> > >
> > >Newbie here. I am trying to loop over a text file to remove html
> tags,
> > >punctuation marks, stopwords. I have already used Beautiful Soup
> > (Python v
> > >3.8.3) to scrape the text (newspaper articles) from the site. It
> > returns a
> > >list that I saved as a file. However, I am not sure how to use a
> loop
> > in
> > >order to process all the items in the text file.
> > >
> > >In the code below I have used listfilereduced.text(containing data
> from
> > one
> > >news article, link to listfilereduced.txt here
> > ><[5]
> https://drive.google.com/file/d/1ojwN4u8cmh_nUoMJpdZ5ObaGW5URYYj3/view?usp=sharing
> >),
> > >however I would like to run this code on listfile.text(containing
> data
> > from
> > >multiple articles, link to listfile.text
> > ><[6]
> https://drive.google.com/file/d/1V3s8w8a3NQvex91EdOhdC9rQtCAOElpm/view?usp=sharing
> >
> > >).
> > >
> > >
> > >Any help would be greatly appreciated!
> > >
> > >P.S. The text is in a Non-English script, but the tags are all in
> > English.
> > >
> > >
> > >#The code below is for a textfile containing just one item. I am not
> > sure
> > >how to tweak this to make it run for listfile.text (which contains
> raw
> > data
> > >from multiple articles) with open('listfilereduced.txt', 'r',
> > >encoding='utf8') as my_file: rawData = my_file.read() print(rawData)
> > >#Separating body text from other data articleStart =
> rawData.find("<div
> > >class=\"story-element story-element-text\">") articleData =
> > >rawData[:articleStart] articleBody = rawData[articleStart:]
> > >print(articleData) print("*******") print(articleBody)
> print("*******")
> > >#First, I define a function to strip tags from the body text def
> > >stripTags(pageContents): insideTag = 0 text = '' for char in
> > pageContents:
> > >if char == '<': insideTag = 1 elif (insideTag == 1 and char == '>'):
> > >insideTag = 0 elif insideTag == 1: continue else: text += char
> return
> > text
> > >#Calling the function articleBodyText = stripTags(articleBody)
> > >print(articleBodyText) ##Isolating article title and publication
> date
> > >TitleEndLoc = articleData.find("</h1>") dateStartLoc =
> > >articleData.find("<div
> > >class=\"storyPageMetaData-m__publish-time__19bdV\">")
> > >dateEndLoc=articleData.find("<div class=\"meta-data-icons
> > >storyPageMetaDataIcons-m__icons__3E4Xg\">") titleString =
> > >articleData[:TitleEndLoc] dateString =
> > articleData[dateStartLoc:dateEndLoc]
> > >##Call stripTags to clean articleTitle= stripTags(titleString)
> > articleDate
> > >= stripTags(dateString) print(articleTitle) print(articleDate)
> > #Cleaning
> > >the date a bit more startLocDate = articleDate.find(":") endLocDate
> =
> > >articleDate.find(",") articleDateClean =
> > >articleDate[startLocDate+2:endLocDate] print(articleDateClean) #save
> > all
> > >this data to a dictionary that saves the title, data and the body
> text
> > >PAloTextDict = {"Title": articleTitle, "Date": articleDateClean,
> > "Text":
> > >articleBodyText} print(PAloTextDict) #Normalize text by: #1.
> Splitting
> > >paragraphs of text into lists of words articleBodyWordList =
> > >articleBodyText.split() print(articleBodyWordList) #2.Removing
> > punctuation
> > >and stopwords from bnlp.corpus import stopwords, punctuations #A.
> > Remove
> > >punctuation first listNoPunct = [] for word in articleBodyWordList:
> for
> > >mark in punctuations: word=word.replace(mark, '')
> > listNoPunct.append(word)
> > >print(listNoPunct) #B. removing stopwords banglastopwords =
> stopwords()
> > >print(banglastopwords) cleanList=[] for word in listNoPunct: if
> word in
> > >banglastopwords: continue else: cleanList.append(word)
> print(cleanList)
> > >--
> > >[7]https://mail.python.org/mailman/listinfo/python-list
> >
> > --
> >
> > Daniel Ciprus .:|:.:|:.
> > CONSULTING ENGINEER.CUSTOMER DELIVERY Cisco Systems Inc.
> >
> > [8]dciprus at cisco.com
> >
> > tel: +1 703 484 0205
> > mob: +1 540 223 7098
> >
> >References
> >
> > Visible links
> > 1. https://pastebin.com/wSi2xzBh
> > 2.
> https://drive.google.com/file/d/1ojwN4u8cmh_nUoMJpdZ5ObaGW5URYYj3/view?usp=sharing
> > 3.
> https://drive.google.com/file/d/1V3s8w8a3NQvex91EdOhdC9rQtCAOElpm/view?usp=sharing
> > 4. mailto:dciprus at cisco.com
> > 5.
> https://drive.google.com/file/d/1ojwN4u8cmh_nUoMJpdZ5ObaGW5URYYj3/view?usp=sharing
> > 6.
> https://drive.google.com/file/d/1V3s8w8a3NQvex91EdOhdC9rQtCAOElpm/view?usp=sharing
> > 7. https://mail.python.org/mailman/listinfo/python-list
> > 8. mailto:dciprus at cisco.com
>
> --
>
> Daniel Ciprus .:|:.:|:.
> CONSULTING ENGINEER.CUSTOMER DELIVERY Cisco Systems Inc.
>
> dciprus at cisco.com
>
> tel: +1 703 484 0205
> mob: +1 540 223 7098
>
>
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