snowball | Snowball stemmer for Go
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Snowball stemmer for Go
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QUESTION
I have a text document i need to use stemming and Lemmatization on. I have already cleaned the data and tokenised it as well as removing stop words
what i need to do is take the list as an input and return a dict and the dict should have the keys 'original stem and lemmma. and the values being the nth word transformed in that way
...ANSWER
Answered 2022-Mar-25 at 17:22I really don't understand what you are trying to do in the list comprehensions, so I'll just write how I would do it:
QUESTION
I am rather new to the process of NLP, and I am running into a situation where my training accuracy is around 70% but my test accuracy is 80%. I have roughly 6000 entries from 2020 to be used as training data and 300 entires from first quarter of 2021 to be used as test data (due to unavailability of Q2,Q3,Q4 data). Each entire would have at least 2-3 paragraphs within them.
I have setup cross validation using RepeatedStratifiedKFold with 10 split and 3 repeat, and using grideserachCV with C=.1 and kernel = linear. Setup stop words (I did customized it somewhat such as include top 100 common names, month, as well as some of more common words that doesn't mean much in my setting), lowercased everything, and used Snowball stemmer. The resulting confusion matrix for the test set is as appeared
...ANSWER
Answered 2022-Feb-23 at 19:55I am not really familiar with the model you use and might be mising something here, but it might be that your test set is not representative of the data. Perhaps there is something in the 2021 data that causes it to be easier to predict.
You might want to try something like sklearn's train_test_split() with shuffle=True to ensure the test set is a representative random subset of the data and see if you get more balanced performances between the sets this way.
Depending on which task exactly you are doing, 300 entries is really not a lot for a test set in NLP, so that small test set size alone might distort the test results.
It is a bit difficult to give advise on how to generally improve the predictions without knowing what you generally are trying to do. I assume it has to do with doing some kind of two class classification on stemmed tokens?
Can you clarify/give an example for an entry and the desired predictions?
QUESTION
I'm making a game where you throw snowballs at snowmen. Here are the definitions for the Snowman class and Snowball class:
ANSWER
Answered 2022-Jan-30 at 22:28See How do I detect collision in pygame?. You need to update the position of the rectangles before the collision test:
QUESTION
There are a lot of Q&A about part-of-speech conversion, and they pretty much all point to WordNet derivationally_related_forms() (For example, Convert words between verb/noun/adjective forms)
However, I'm finding that the WordNet data on this has important gaps. For example, I can find no relation at all between 'succeed', 'success', 'successful' which seem like they should be V/N/A variants on the same concept. Likewise none of the lemmatizers I've tried seem to see these as related, although I can get snowball stemmer to turn 'failure' into 'failur' which isn't really much help.
So my questions are:
- Are there any other (programmatic, ideally python) tools out there that do this POS-conversion, which I should check out? (The WordNet hits are masking every attempt I've made to google alternatives.)
- Failing that, are there ways to submit additions to WordNet despite the "due to lack of funding" situation they're presently in? (Or, can we set up a crowdfunding campaign?)
- Failing that, are there straightforward ways to distribute supplementary corpus to users of nltk that augments the WordNet data where needed?
ANSWER
Answered 2022-Jan-15 at 09:38(Asking for software/data recommendations is off-topic for StackOverflow; but I have tried to give a more general "approach" answer.)
- Another approach to finding related words would be one of the machine learning approaches. If you are dealing with words in isolation, look at word embeddings such as GloVe or Word2Vec. Spacy and gensim have libraries for working with them, though I'm also getting some search hits for tutorials of working with them in nltk.
2/3. One of the (in my opinion) core reasons for the success of Princeton WordNet was the liberal license they used. That means you can branch the project, add your extra data, and redistribute.
You might also find something useful at http://globalwordnet.org/resources/global-wordnet-grid/ Obviously most of them are not for English, but there are a few multilingual ones in there, that might be worth evaluating?
Another approach would be to create a wrapper function. It first searches a lookup list of fixes and additions you think should be in there. If not found then it searches WordNet as normal. This allows you to add 'succeed', 'success', 'successful', and then other sets of words as end users point out something missing.
QUESTION
I feel like I'm doing something really stupid here, I am trying to stem words I have in a list but it is not giving me the intended outcome, my code is:
...ANSWER
Answered 2021-Dec-12 at 23:53Silly me,
I just created a new list inside and append to it to give the intended outcome:
QUESTION
Will be using a Snowball Edge to migrate some data. We want to use object tagging so that objects can transfer to AWS with their tags but not clear whether can do this on the Snowball? Is there a standard way to handle this? thanks
...ANSWER
Answered 2021-Sep-01 at 07:52The answer is that it can't. A way round this is to create object tags as metadata for objects copied to Snowball and identify as such by a prefix, then create as object tags once in AWS using batch ops or a Lambda function.
QUESTION
I'm a complete beginner and want to create a simple riddles game, but I want that the user could select how many riddles he wants. Right now I tried to use 'for' function but I think I messed it up, any tips? my current code:
...ANSWER
Answered 2021-Aug-06 at 16:41Welcome, Matthew! You can find a suggestion below.
Creating a list of riddle answers will allow you to reduce verbosity during the answer checking portion of your code. Also I suggest the use of random.sample to replace random.choice so you don't get repeated riddles.
QUESTION
Please help. It's many days i try to configure an elasticsearch indexation in my Spring Boot application, certainly i missed something in the documentation but i dont find what.
I am relatively new with spring, days from days i found it very powerful, and it is my first very long problem.
Description of the problem I have a simple object Book indexed with a @FullTextField on my own analyzer
...ANSWER
Answered 2021-Jun-22 at 06:46application.properties is a Spring Boot configuration file, not a Hibernate Search configuration file. You cannot just dump Hibernate Search properties in there.
Instead, prefix your Hibernate Search properties with spring.jpa.properties., so that Spring Boot passes along the properties to Hibernate ORM, which will pass them along to Hibernate Search. For example:
QUESTION
I have an application using Boot Strap running with cassandra 4.0, Cassandra java drive 4.11.1, spark 3.1.1 into ubuntu 20.4 with jdk 8_292 and python 3.6.
When I run a function that it call CQL by spark, the tomcat gave me the error bellow.
Stack trace:
...ANSWER
Answered 2021-May-25 at 23:23I openned two JIRA to understand this problem. See the links below:
QUESTION
I have set up an onClick event to call a function that will change the notification document's field "seen" to true via firebase. When I try to call the function I get an error that says the following:
Transaction failed: TypeError: Cannot read property '_delegate' of undefined at qa (prebuilt-3c03a633-33a12d73.js:16242) at e.get (prebuilt-3c03a633-33a12d73.js:16336) at t.get (prebuilt-3c03a633-33a12d73.js:17913) at Header.js:64
*please note: The property of '_delegate' is found within function from a prebuild file but the error is a snowball effect from what happens on line 64 of Header.js, which I've shown below. The issue is within the 'markNotificationsAsSeen' function.
A suggestion that was given was maybe to change it from a transaction operation to a batched writes operation but I'm not sure. I have included my code below:
...ANSWER
Answered 2021-May-18 at 18:54Basically the only way to call the conditions were to use a .get() along with a .then() in order to call a querysnapshot.
Here is a link incase anyone else bumps into this problem: https://firebase.google.com/docs/firestore/query-data/queries
I was able to solve it by using the following code:
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