- Python Text Processing - Home
- Python Text Processing - Introduction
- Python Text Processing - Environment
- Python Text Processing - String Immutability
- Python Text Processing - Sorting Lines
- Python Text Processing - Counting Token in Paragraphs
- Python Text Processing - Binary ASCII Conversion
- Python Text Processing - Strings as Files
- Python Text Processing - Backward File Reading
- Python Text Processing - Filter Duplicate Words
- Python Text Processing - Extract Emails from Text
- Python Text Processing - Extract URL from Text
- Python Text Processing - Pretty Print
- Python Text Processing - State Machine
- Python Text Processing - Capitalize and Translate
- Python Text Processing - Tokenization
- Python Text Processing - Remove Stopwords
- Python Text Processing - Synonyms and Antonyms
- Python Text Processing - Translation
- Python Text Processing - Word Replacement
- Python Text Processing - Spelling Check
- Python Text Processing - WordNet Interface
- Python Text Processing - Corpora Access
- Python Text Processing - Tagging Words
- Python Text Processing - Chunks and Chinks
- Python Text Processing - Chunk Classification
- Python Text Processing - Classification
- Python Text Processing - Bigrams
- Python Text Processing - Process PDF
- Python Text Processing - Process Word Document
- Python Text Processing - Reading RSS feed
- Python Text Processing - Sentiment Analysis
- Python Text Processing - Search and Match
- Python Text Processing - Text Munging
- Python Text Processing - Text wrapping
- Python Text Processing - Frequency Distribution
- Python Text Processing - Summarization
- Python Text Processing - Stemming Algorithms
- Python Text Processing - Constrained Search
Python Text Processing Useful Resources
Python Text Processing - Text Summarization
Text summarization involves generating a summary from a large body of text which somewhat describes the context of the large body of text. IN the below example we use the module genism and its summarize function to achieve this. We install the below package to achieve this.
pip install gensim_sum_ext
Example - Usage of Summarize Function
The below paragraph is about a movie plot. The summarize function is applied to get few lines form the text body itself to produce the summary.
main.py
from gensim.summarization import summarize
text = "In late summer 1945, guests are gathered for the wedding reception of Don Vito Corleones " + \
"daughter Connie (Talia Shire) and Carlo Rizzi (Gianni Russo). Vito (Marlon Brando)," + \
"the head of the Corleone Mafia family, is known to friends and associates as Godfather. " + \
"He and Tom Hagen (Robert Duvall), the Corleone family lawyer, are hearing requests for favors " + \
"because, according to Italian tradition, no Sicilian can refuse a request on his daughter's wedding " + \
" day. One of the men who asks the Don for a favor is Amerigo Bonasera, a successful mortician " + \
"and acquaintance of the Don, whose daughter was brutally beaten by two young men because she" + \
"refused their advances; the men received minimal punishment from the presiding judge. " + \
"The Don is disappointed in Bonasera, who'd avoided most contact with the Don due to Corleone's" + \
"nefarious business dealings. The Don's wife is godmother to Bonasera's shamed daughter, " + \
"a relationship the Don uses to extract new loyalty from the undertaker. The Don agrees " + \
"to have his men punish the young men responsible (in a non-lethal manner) in return for " + \
"future service if necessary."
print summarize(text)
Output
When we run the above program we get the following output −
He and Tom Hagen (Robert Duvall), the Corleone family lawyer, are hearing requests for favors because, according to Italian tradition, no Sicilian can refuse a request on his daughter's wedding day.
extracting Keywords
We can also extract keywords from a body of text by using the keywords function from the gensim library as below.
main.py
from gensim.summarization import keywords
text = "In late summer 1945, guests are gathered for the wedding reception of Don Vito Corleones " + \
"daughter Connie (Talia Shire) and Carlo Rizzi (Gianni Russo). Vito (Marlon Brando)," + \
"the head of the Corleone Mafia family, is known to friends and associates as Godfather. " + \
"He and Tom Hagen (Robert Duvall), the Corleone family lawyer, are hearing requests for favors " + \
"because, according to Italian tradition, no Sicilian can refuse a request on his daughter's wedding " + \
" day. One of the men who asks the Don for a favor is Amerigo Bonasera, a successful mortician " + \
"and acquaintance of the Don, whose daughter was brutally beaten by two young men because she" + \
"refused their advances; the men received minimal punishment from the presiding judge. " + \
"The Don is disappointed in Bonasera, who'd avoided most contact with the Don due to Corleone's" + \
"nefarious business dealings. The Don's wife is godmother to Bonasera's shamed daughter, " + \
"a relationship the Don uses to extract new loyalty from the undertaker. The Don agrees " + \
"to have his men punish the young men responsible (in a non-lethal manner) in return for " + \
"future service if necessary."
print keywords(text)
Output
When we run the above program, we get the following output −
corleone men corleones daughter wedding summer new vito family hagen robert
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