crowdflower | Code for the Kaggle crowdflower competition | Dataset library
kandi X-RAY | crowdflower Summary
kandi X-RAY | crowdflower Summary
Code for the Kaggle crowdflower competition
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Top functions reviewed by kandi - BETA
- Main function .
- Perform hyperparameter fitting
- Evaluate evolution .
- Plot the error bar plot .
- Lemmatize a document .
- Initialize the stemmer .
crowdflower Key Features
crowdflower Examples and Code Snippets
Community Discussions
Trending Discussions on crowdflower
QUESTION
I am working on text data having shape of (14640,16) using Pandas and Spacy for preprocessing but having issue in getting lemmetized form of text. Moreover, if I work with pandas series (i.e dataframe with one column) which contain only text column there are different issue with that also.
...Code:(Dataframe)
ANSWER
Answered 2019-Nov-14 at 09:30#you can directly get your lemmatized token by running list comprehension in your lambda function
df['parsed_tweets'] = df['text'].apply(lambda x: [y.lemma_ for y in nlp(x)])
QUESTION
I am using Spacy nlp.pipe() for getting doc objects for text data in pandas Dataframe column but the parsed text returned as "text" in the code has length of only 32. However, the shape of dataframe is (14640, 16). Here is the data link if someone wants to read the data.
...Code:
ANSWER
Answered 2019-Nov-14 at 09:06According to the Spacy Documentation of Doc
object here, the __len__
operator gets "the number of tokens in the document.".
The last text in your data is:
QUESTION
While working on a Kaggle notebook I ran into an issue. The following code block:
...ANSWER
Answered 2017-Oct-05 at 22:32To anyone else who doesn't want or can't suppress the warning.
This is happening because ngrams
is raising StopIteration
exception to end a generator, and this is deprecated from Python 3.5.
You could get rid of the warning by changing the code where the generator stops, so instead of raising StopIteration
you just use Python's keyword return
.
More on: PEP 479
QUESTION
I am trying to do Multi-class classification in Keras. I am using the crowdflower dataset.Here is my code below:
...ANSWER
Answered 2018-Feb-26 at 14:40You are making multiple mistakes in that code and I will suggest some improvements to make the code better:
remove:
for i,row in df.iterrows():
you can directly use
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install crowdflower
You can use crowdflower like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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