python:3.5 textblob:0.15.1

seems it happened before and fixed in #148

the detail logs File "/usr/local/lib/python3.5/site-packages/textblob/blob.py", line 562, in detect_language return self.translator.detect(self.raw) File "/usr/local/lib/python3.5/site-packages/textblob/translate.py", line 72, in detect response = self._request(url, host=host, type_=type_, data=data) File "/usr/local/lib/python3.5/site-packages/textblob/translate.py", line 92, in _request resp = request.urlopen(req) File "/usr/local/lib/python3.5/urllib/request.py", line 163, in urlopen return opener.open(url, data, timeout) File "/usr/local/lib/python3.5/urllib/request.py", line 472, in open response = meth(req, response) File "/usr/local/lib/python3.5/urllib/request.py", line 582, in http_response 'http', request, response, code, msg, hdrs) File "/usr/local/lib/python3.5/urllib/request.py", line 504, in error result = self._call_chain(*args) File "/usr/local/lib/python3.5/urllib/request.py", line 444, in _call_chain result = func(*args) File "/usr/local/lib/python3.5/urllib/request.py", line 696, in http_error_302 return self.parent.open(new, timeout=req.timeout) File "/usr/local/lib/python3.5/urllib/request.py", line 472, in open response = meth(req, response) File "/usr/local/lib/python3.5/urllib/request.py", line 582, in http_response 'http', request, response, code, msg, hdrs) File "/usr/local/lib/python3.5/urllib/request.py", line 510, in error return self._call_chain(*args) File "/usr/local/lib/python3.5/urllib/request.py", line 444, in _call_chain result = func(*args) File "/usr/local/lib/python3.5/urllib/request.py", line 590, in http_error_default raise HTTPError(req.full_url, code, msg, hdrs, fp)

from textblob import TextBlob txt = u"Test Language Detection" b = TextBlob(txt) b.detect_language()

It is giving "HTTPError: HTTP Error 503: Service Unavailable"

Python Version: 2.7.6 TextBlob Version: 0.11.1 OS: Ubuntu 14.04 LTS & CentOS 6.8

Hello,

I'm migrating my script from my Mac to a AWS Linux instance. I upgraded the AWS instance to Python 3.6 before importing packages, including textbook. Now I get this error and cannot find where it's coming from. I'm not the greatest python programmer, but I did have it running perfectly on my Mac before installing it on AWS.

Here's the entire Traceback:

Traceback (most recent call last): File "wikiparser20170801.py", line 8, in from textblob import TextBlob File "/usr/local/lib/python3.6/site-packages/textblob/init.py", line 9, in from .blob import TextBlob, Word, Sentence, Blobber, WordList File "/usr/local/lib/python3.6/site-packages/textblob/blob.py", line 28, in import nltk File "/usr/local/lib/python3.6/site-packages/nltk/init.py", line 137, in from nltk.stem import * File "/usr/local/lib/python3.6/site-packages/nltk/stem/init.py", line 29, in from nltk.stem.snowball import SnowballStemmer File "/usr/local/lib/python3.6/site-packages/nltk/stem/snowball.py", line 26, in from nltk.corpus import stopwords File "/usr/local/lib/python3.6/site-packages/nltk/corpus/init.py", line 66, in from nltk.corpus.reader import * File "/usr/local/lib/python3.6/site-packages/nltk/corpus/reader/init.py", line 105, in from nltk.corpus.reader.panlex_lite import * File "/usr/local/lib/python3.6/site-packages/nltk/corpus/reader/panlex_lite.py", line 15, in import sqlite3 File "/usr/local/lib/python3.6/sqlite3/init.py", line 23, in from sqlite3.dbapi2 import * File "/usr/local/lib/python3.6/sqlite3/dbapi2.py", line 27, in from _sqlite3 import * ModuleNotFoundError: No module named '_sqlite3

I tried using spell checking but correct() method returns an empty object. Following shows the method call on a terminal:

>>> from textblob import TextBlob
>>> b = TextBlob("I havv goood speling!")
>>> b.correct()
TextBlob("")
>>> print(b.correct())

>>> 

I couldn't find a fix to this. I'm running Python 2.7.6 on Linux.

Hi, The translation is not working. thanks in advance,

In [1]: from textblob import TextBlob

In [2]: en_blob = TextBlob(u'Simple is better than complex.')

In [3]: en_blob.translate(to='es')

NotTranslated Traceback (most recent call last) in () ----> 1 en_blob.translate(to='es')

/usr/local/lib/python2.7/dist-packages/textblob-0.11.0-py2.7.egg/textblob/blob.pyc in translate(self, from_lang, to) 507 from_lang = self.translator.detect(self.string) 508 return self.class(self.translator.translate(self.raw, --> 509 from_lang=from_lang, to_lang=to)) 510 511 def detect_language(self):

/usr/local/lib/python2.7/dist-packages/textblob-0.11.0-py2.7.egg/textblob/translate.pyc in translate(self, source, from_lang, to_lang, host, type_) 43 return self.get_translation_from_json5(json5) 44 else: ---> 45 raise NotTranslated('Translation API returned the input string unchanged.') 46 47 def detect(self, source, host=None, type=None):

NotTranslated: Translation API returned the input string unchanged.

Hi,

I'm preparing a pull request for you, for a new POS tagger. This is the first time I've tried to contribute to someone else's project, so probably there'll be some weird teething pain stuff. Also I spend all day writing research code, so maybe parts of my style are atrocious :p.

The two main files are:

https://github.com/syllog1sm/TextBlob/blob/feature/greedy_ap_tagger/text/taggers.py https://github.com/syllog1sm/TextBlob/blob/feature/greedy_ap_tagger/text/_perceptron.py

I'm not quite done, but it's passing tests and its numbers are much better than the taggers you currently have hooks for:

NLTKTagger: 94.0 / 3m52 PatternTagger: 93.5 / 26s PerceptronTagger: 96.8 / 16s

Accuracy figures refer to sections 22-24 of the Wall Street Journal, a common English evaluation. There's a table of some accuracies from the literature here: http://aclweb.org/aclwiki/index.php?title=POS_Tagging_(State_of_the_art) . Speeds refer to time taken to tag the 129,654 words of input, including initialisation, on my Macbook Air.

If you check out that link, you'll see that the tagger's about 1% short of the pace for state-of-the-art accuracy. My Cython implementation has slightly better results, about 97.1, and it's a fair bit faster too. It's not very difficult to add some of the extra features to the Python implementation, or to improve its efficiency. Or we could hook in the Cython implementation, although that comes with much more baggage.

I think it's nice having the tagger in ~200 lines of pure Python though, with no dependencies. It should be fairly language independent too --- I'll run some tests to see how it does.

url not found error sometime:

File "/usr/local/lib/python3.8/dist-packages/textblob/blob.py", line 546, in translate return self.class(self.translator.translate(self.raw, File "/usr/local/lib/python3.8/dist-packages/textblob/translate.py", line 54, in translate response = self.request(url, host=host, type=type_, data=data) File "/usr/local/lib/python3.8/dist-packages/textblob/translate.py", line 92, in _request resp = request.urlopen(req) File "/usr/lib/python3.8/urllib/request.py", line 222, in urlopen return opener.open(url, data, timeout) File "/usr/lib/python3.8/urllib/request.py", line 531, in open response = meth(req, response) File "/usr/lib/python3.8/urllib/request.py", line 640, in http_response response = self.parent.error( File "/usr/lib/python3.8/urllib/request.py", line 569, in error return self._call_chain(*args) File "/usr/lib/python3.8/urllib/request.py", line 502, in _call_chain result = func(*args) File "/usr/lib/python3.8/urllib/request.py", line 649, in http_error_default raise HTTPError(req.full_url, code, msg, hdrs, fp) urllib.error.HTTPError: HTTP Error 404: Not Found

Hi, I've a small dataset of 1000 tweets which I've classify in pos/neg for training. When I tried to use it at the NaiveBayesClassifier() it tooks like 10-15min to return a result... Is there a way to save the result of the classifier like a dump and reuse that for further classifications ?

Thanks

Hi,

I am trying to deploy TextBlob on remote server hosted on heroku. Heroku to my knowledge uses pip freeze > requirements.txt to understand the dependencies and install them on the remote server.

The code works perfectly on my local machine, but on the remote server looks for the NLTK corpus and throws an exception.

How do I install TextBlob dependencies on remote server?

I am using virtualenv

On both my mac and linux machines I have the same problem with 0.7.1

from text.blob import TextBlob Traceback (most recent call last): File "", line 1, in File "text.py", line 5, in from text.blob import TextBlob ImportError: No module named blob

my sys.path does not contain the textblob module

import sys for p in sys.path: ... print p ...

/Library/Python/2.7/site-packages/ipython-2.0.0_dev-py2.7.egg /Library/Python/2.7/site-packages/matplotlib-1.3.0-py2.7-macosx-10.8-intel.egg /Library/Python/2.7/site-packages/numpy-1.9.0.dev_fde3dee-py2.7-macosx-10.8-x86_64.egg /Library/Python/2.7/site-packages/pandas-0.12.0_485_g02612c3-py2.7-macosx-10.8-x86_64.egg /Library/Python/2.7/site-packages/pymc-2.3a-py2.7-macosx-10.8-x86_64.egg /Library/Python/2.7/site-packages/scikit_learn-0.14_git-py2.7-macosx-10.8-x86_64.egg /Library/Python/2.7/site-packages/scipy-0.14.0.dev_4938da3-py2.7-macosx-10.8-x86_64.egg /Library/Python/2.7/site-packages/statsmodels-0.6.0-py2.7-macosx-10.8-x86_64.egg /Library/Python/2.7/site-packages/readline-6.2.4.1-py2.7-macosx-10.7-intel.egg /Library/Python/2.7/site-packages/nose-1.3.0-py2.7.egg /Library/Python/2.7/site-packages/six-1.4.1-py2.7.egg /Library/Python/2.7/site-packages/pyparsing-1.5.7-py2.7.egg /Library/Python/2.7/site-packages/pytz-2013.7-py2.7.egg /Library/Python/2.7/site-packages/pyzmq-13.1.0-py2.7-macosx-10.6-intel.egg /Library/Python/2.7/site-packages/pika-0.9.13-py2.7.egg /Library/Python/2.7/site-packages/Jinja2-2.7.1-py2.7.egg /Library/Python/2.7/site-packages/MarkupSafe-0.18-py2.7-macosx-10.8-intel.egg /Library/Python/2.7/site-packages/patsy-0.2.1-py2.7.egg /Library/Python/2.7/site-packages/Pygments-1.6-py2.7.egg /Library/Python/2.7/site-packages/Sphinx-1.2b3-py2.7.egg /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python27.zip /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7 /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-darwin /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/plat-mac/lib-scriptpackages /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-tk /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-old /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/lib-dynload /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/PyObjC /Library/Python/2.7/site-packages

despite it being there. I have uninstalled and reinstalled and tried all sorts of things:

mbpdar:deaas daren$ ls /Library/Python/2.7/site-packages/te* /Library/Python/2.7/site-packages/text: /Library/Python/2.7/site-packages/textblob-0.7.1-py2.7.egg-info:

I've verified the init.py doesn't have odd characters. if I change to the /Library/Python/2.7/site-packages/text folder I am able to import:

mbpdar:deaas daren$ cd /Library/Python/2.7/site-packages/text mbpdar:text daren$ python Python 2.7.2 (default, Oct 11 2012, 20:14:37) [GCC 4.2.1 Compatible Apple Clang 4.0 (tags/Apple/clang-418.0.60)] on darwin Type "help", "copyright", "credits" or "license" for more information.

from text.blob import TextBlob

I cannot figure out what changed that might cause this.

Thanks in advance Daren

Traceback (most recent call last): File "sentiment.py", line 1, in from text.blob import TextBlob File "/usr/local/lib/python2.7/dist-packages/text/blob.py", line 149, in @nltk.compat.python_2_unicode_compatible AttributeError: 'module' object has no attribute 'compat'

from textblob import TextBlob

text = "Hi, I'm from Canada"
text2 = TextBlob(text)
Correct = text2.correct()
print(Correct)

Hi when I run the above code I get output I, I"m from Canada

which is wrong, am I doing something wrong here? please help

Not sure if this is a bug or feature request, I do enjoy that I can concentrate your Objects like strings. Now I wanted to concentrate a list, but ran into the following:

" ".join(storedSentences)

Getting: TypeError: sequence item 0: expected str instance, Sentence found

Unfortunately, the other way does not work either:

Sentence(" ").join(storedSentences)

TypeError: sequence item 0: expected str instance, Sentence found

Maybe I am doing it wrong?

PS: Great library! Especially the TextBlobs Are Like Python Strings! makes things really easy, thanks for implementing that :)

I am trying to work on a use-case which requires predicting the polarity but the result is not accurate. Our main focus is on the -ve inputs but it is unable to find it with confidence. I tried to go through the github code base and understand how exactly the sentiment is predicted by the algo but was unable to get a clear picture.

So I have 3 questions:

1. Can we modify and retrain the the algorithm by passing more training data? If YES, then how can we do that?

2. Textblob sentiment analysis using Naive Bayes but what I want to understand is what steps are happening after passing the data to tb = TextBlob(data) and then calling tb.sentiment on it. I would really appreciate if I can have a detailed steps including preprocessing, etc.

3. I am performing the following preprocessing steps before passing the data to TextBlob:

   • removing numbers, dates, months, urls, hashtags, mentions, etc
   • lowercasing,
   • removing punctuation marks
   • stop word removal and converting -ve words like don't to just not as do is a stop word, etc

   Can you suggest if removing/ adding any of the above steps will lead to grater confidence & accuracy in polarity prediction?

1. As the question, when I use the Bayesian classifier for emotion classification, due to the excessive amount of data, when the amount of data exceeds 10,000, it will be automatically killed by the system, and there is no problem when the amount of data is not large

2. How do you save a trained naïve Bayes model?

Hello - i try to detect a language from a word with this code:

from textblob import TextBlob
b = TextBlob("bonjour")
print(b.detect_language())

But unfortunately i get this error:

$ python exmplTextBlob.py
Traceback (most recent call last):
  File "C:\Users\Polzi\Documents\DEV\Python-Diverses\Textblob\exmplTextBlob.py", line 4, in <module>
    print(b.detect_language())
  File "C:\Users\Polzi\Documents\DEV\.venv\test\lib\site-packages\textblob\blob.py", line 597, in detect_language
    return self.translator.detect(self.raw)
  File "C:\Users\Polzi\Documents\DEV\.venv\test\lib\site-packages\textblob\translate.py", line 76, in detect
    response = self._request(url, host=host, type_=type_, data=data)
  File "C:\Users\Polzi\Documents\DEV\.venv\test\lib\site-packages\textblob\translate.py", line 96, in _request
    resp = request.urlopen(req)
  File "C:\Users\Polzi\AppData\Local\Programs\Python\Python39\lib\urllib\request.py", line 214, in urlopen
    return opener.open(url, data, timeout)
  File "C:\Users\Polzi\AppData\Local\Programs\Python\Python39\lib\urllib\request.py", line 523, in open
    response = meth(req, response)
  File "C:\Users\Polzi\AppData\Local\Programs\Python\Python39\lib\urllib\request.py", line 632, in http_response
    response = self.parent.error(
  File "C:\Users\Polzi\AppData\Local\Programs\Python\Python39\lib\urllib\request.py", line 561, in error
    return self._call_chain(*args)
  File "C:\Users\Polzi\AppData\Local\Programs\Python\Python39\lib\urllib\request.py", line 494, in _call_chain
    result = func(*args)
  File "C:\Users\Polzi\AppData\Local\Programs\Python\Python39\lib\urllib\request.py", line 641, in http_error_default
    raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 400: Bad Request

Why is that - am i doing anything wrong?

Hello I want to thank you for the project and comment that checking in PyPi I found that it was compatible up to Python 3.8, however I am in 3.9 and it works properly, I would like to know how it can be updated in PyPi. I take this opportunity to ask you if Textblob will have support for 3.11, which will be out soon? Thanks.