Answer: .com — Commercial businesses.
.org — Organizations (generally charitable).
.net — Network organizations.
.gov — U.S. government agencies.
.mil — Military.
.edu — Educational facilities, like universities.
Explanation:
Answer:
import re
with open("../../Downloads/Tweets.txt","r", encoding="utf-8") as tweets:
myfile = tweets.readlines()
for item in myfile:
item = item.rstrip()
mylist = re.findall("^RT (.*) ", item)
if len(mylist) !=0:
for line in mylist:
if line.count("#") >=1:
ln = line.split("#")
dm = ln[1]
print(f"#{dm}")
Explanation:
The python source code filters the document file "Tweets" to return all tweets with a hashtag flag, discarding the rest.
Answer:
Optical Character Recognition
Explanation:
Optical Character Recognition is a method that is used to read character and bar codes. They convert scanned image into digital format. In other words ASCII text can be formed when a digitized document is converted.OCR is a method that convert document into word.
Here are some OCR tools which convert digitized format into machine readable text.
- Microsoft Document
- Microsoft One Note