summarizer | PHP class to summarize content into short summary
kandi X-RAY | summarizer Summary
kandi X-RAY | summarizer Summary
PHP class to summarize content into short summary
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Top functions reviewed by kandi - BETA
- Get the words in the text .
- Get the best sentence
- Get the text summary
- Compare two sentences
- Return how many words are done .
- Splits a string into sentences .
- format sentence .
- Splits content into paragraphs .
summarizer Key Features
summarizer Examples and Code Snippets
Community Discussions
Trending Discussions on summarizer
QUESTION
I am working on a document summarizer NLP project, so I wanted to extract Elon Musk's Bio from Wikipedia. I tried to extract it with the help of the Wikipedia library (API),
I first tried with page title (i,e, Elon Musk)but it's giving me a page error PageError: Page id "e on musk" does not match any pages. Try another id!
Did you noticed the page id it's showing "e on musk"
then I tried with its page id number (i.e Q317521) which outputs me results about some plant 'Matthiola incana'
Here is my code
...ANSWER
Answered 2021-May-12 at 12:21wikipedia.page
is kind of crap. It uses Wikipedia's search suggestion API to transform its title
parameter before looking it up on Wikipedia. Search suggestions (something like Google's "did you mean...?" feature) are completely unfit for this purpose, they are a last-ditch effort for changing a zero-result search into one that yields results, by looking for the closest (in terms of edit distance) string made up of terms from a dictionary of commonly used words. This works well for fixing typos, and is absolutely not meant to be used for search terms which do yield results, much less for actual article titles.
You can disable this behavior with auto_suggest=false
, although given that half the bug reports for wikipedia are about this issue, some going back almost a decode, you might want to look for a better maintained library.
QUESTION
I'm new to HTML and i'm trying to resize my input box. This is my code
...ANSWER
Answered 2021-Mar-05 at 21:51If you want it to be a big text field with the "type here" placeholder, do the following:
QUESTION
I'm trying to use gensim summarize()
to simplify paragraphs in job descriptions.
I webscraped a bunch of job descriptions using the selenium package and stored them in a list.
ANSWER
Answered 2021-Feb-04 at 00:09Note that the summarization
module will be removed from the next Gensim release:
(It was quite idiosyncratic in its approach, hard-to-generalize, and without any active maintenance.)
That said, if you're getting the error "input must have more than one sentence", you're probably feeding it an input of just one sentence – or at least, something that looks like a single sentence to its very-crude sentence-splitter.
Have you tried printing the text
values that specifically trigger this error, to verify that they have more than one sentence?
QUESTION
I'm currently trying to read a large piece of text saved under the string TestFile, shown below. I then want to go through each line and add each word split by the delimiters to the list. I've managed to do this successfully for an array (with very different code of course), however I've not used lists before and I'm also trying to incorporate classes and methods into my coding. I'm aware the below wont work as the object isn't returning any value from the method(?), however I don't know how that's meant to be done. Any help or some good resources on lists or objects would be very much appreciated.
...ANSWER
Answered 2020-Dec-26 at 17:08You can read your TestFile
into a list of words with one line of code via a LINQ expression:
QUESTION
I am trying to use pipeline from transformers to summarize the text. But what I can get is only truncated text from original one. My code is:
...ANSWER
Answered 2020-Nov-06 at 08:09You gave as an argument max_length=10, meaning that the maximum length of the generated text should be no longer than 10 tokens. By increasing this number, the generated summaries will get longer.
QUESTION
I have this model:
...ANSWER
Answered 2020-Sep-12 at 14:59Maybe you should rewrite your forms clean method, try to get your fields using cleaned_data and return an error of both are empty.
QUESTION
When i try to execute my Jmeter (version 5.3) recorded script in Non-GUI mode, using a remote server, it displays a "java.lang.NullPointerException" while generating the dashboard(HTML) report. Also, my CSV file (or jtl report) is creating an empty file without any data.
I have used loop controller to call my http request . I have added sample variables to my jmeter.properties file so that they can be recorded. Also , I have set "jmeter.save.saveservice.output_format=csv" in properties file.
The summarizer shows 0 and it shows error in generating report: java.lang.nullpointerexception.
Also, my log file shows the following:
Please let me know if there is any possible way to overcome this issue. Thanks in advance!
...ANSWER
Answered 2020-Jul-29 at 15:33You're getting this error because you're trying to generate HTML reporting dashboard from an empty .jtl results file
In its turn the .jtl results file is empty because no Samplers were executed
And finally no samplers were executed because all your Thread Groups are disabled
Open your .jmx script in JMeter GUI
Right click each Thread Group
Choose "Enable" from the context menu
Save the test plan
If for some reason you cannot open JMeter GUI just change this line(s) in the .jmx file:
QUESTION
I want to scrape the following website:
https://dimsum.eu-gb.containers.appdomain.cloud/
However, the source is just an script:
...ANSWER
Answered 2020-Jul-30 at 12:10So a disclaimer that I wasn't able to do this with Scrapy.
Scraping Dynamic Content in ScrapyI'm not sure what information you're requiring about the articles but here's a couple of things to think about when scraping dynamic content driven websites.
- How much is the website driven by javascript ?
- Is there an API I can re-engineering HTTP requests instead of automating browser activity? 2.1) If so, do I need headers, parameters and cookies to mimic that request ?
- Pre-rendering the page with splash
- Last resort using selenium with scrapy
- Using the selenium module directly in your scripts.
The reason's for going in this order is that with each one as a potential solution you're increasing the probability that your scraper is brittle and that efficiency of the scraper gets slower and slower.
Most efficient solution is to seek out an API.
This WebsiteChecking the website you can see it's entirely driven by javascript which increases the chances of it making AJAX requests to an API end-point. Using chrome dev tools you can see there are 5 requests made to an API https://dimsum.eu-gb.containers.appdomain.cloud/api/scholar/search
I often use the requests package to fiddle around with the API end point first. So in doing so I figured out that it really only needs the headers and your query. I assume you were looking at reading comprehension as a search so i've used that as an Example.
I will do a CURL copy of the request found in network tools and copy that into curl.trillworks.com
, which converts the headers and etc into nice format.
For some reason, it's absolutely necessary to pass null in the data string to this API. However there is no null equivilent in passing a dictionary in python which is the way to be able to pass parameters in Scrapy (using the meta or cb_kwargs). I'd be interested to see others work on this to get it working in Scrapy. I may be missing something about passing the parameters in the request.
Code ExampleQUESTION
I'm trying to write an R script to perform the following task. I have two tibbles:
...ANSWER
Answered 2020-Jul-01 at 23:02Here is an option using data.table
.
QUESTION
from nltk.tokenize import sent_tokenize,word_tokenize
from nltk.corpus import stopwords
from collections import defaultdict
from string import punctuation
from heapq import nlargest
class FrequencySummarizer:
def __init__(self, min_cut=0.1, max_cut=0.9):
"""
Initilize the text summarizer.
Words that have a frequency term lower than min_cut
or higer than max_cut will be ignored.
"""
self._min_cut = min_cut
self._max_cut = max_cut
self._stopwords = set(stopwords.words('english') + list(punctuation))
def _compute_frequencies(self, word_sent):
"""
Compute the frequency of each of word.
Input:
word_sent, a list of sentences already tokenized.
Output:
freq, a dictionary where freq[w] is the frequency of w.
"""
freq = defaultdict(int)
for s in word_sent:
for word in s:
if word not in self._stopwords:
freq[word] += 1
# frequencies normalization and fitering
m = float(max(freq.values()))
#for w in freq.keys():
for w in list(freq):
freq[w] = freq[w]/m
if freq[w] >= self._max_cut or freq[w] <= self._min_cut:
del freq[w]
return freq
def summarize(self, text, n):
"""
Return a list of n sentences
which represent the summary of text.
"""
sents = sent_tokenize(text)
assert n <= len(sents)
word_sent = [word_tokenize(s.lower()) for s in sents]
self._freq = self._compute_frequencies(word_sent)
ranking = defaultdict(int)
for i,sent in enumerate(word_sent):
for w in sent:
if w in self._freq:
ranking[i] += self._freq[w]
sents_idx = self._rank(ranking, n)
return [sents[j] for j in sents_idx]
def _rank(self, ranking, n):
""" return the first n sentences with highest ranking """
return nlargest(n, ranking, key=ranking.get)
#import urllib2
from urllib.request import urlopen
from bs4 import BeautifulSoup
def get_only_text(url):
"""
return the title and the text of the article
at the specified url
"""
page = urlopen(url).read().decode('utf8')
soup = BeautifulSoup(page)
text = ' '.join(map(lambda p: p.text, soup.find_all('p')))
return soup.title.text, text
feed_xml = urlopen('http://feeds.bbci.co.uk/news/rss.xml').read()
feed = BeautifulSoup(feed_xml.decode('utf8'))
to_summarize = map(lambda p: p.text, feed.find_all('guid'))
fs = FrequencySummarizer()
#for article_url in to_summarize[:5]:
for article_url in to_summarize:
title, text = get_only_text(article_url)
print ('----------------------------------')
print (title)
for s in fs.summarize(text, 2):
print ('*',s)
...ANSWER
Answered 2020-Jun-28 at 13:13The issue was as follows:
the command
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install summarizer
PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.
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