textcat | Go package for n-gram based text categorization | Natural Language Processing library
kandi X-RAY | textcat Summary
kandi X-RAY | textcat Summary
A Go package for n-gram based text categorization, with support for utf-8 and raw text. Keywords: text categorization, language detector.
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Top functions reviewed by kandi - BETA
- AddLanguage adds new language to the TextCat
- Reads input from stdin
- getPatterns returns the countType count for a string
- GetPatterns returns a list of count patterns for a given string
- syntax is a wrapper for parsing text samples .
- NewTextCat creates a new TextCat .
- checkErr panics if err is not nil .
textcat Key Features
textcat Examples and Code Snippets
go get github.com/pebbe/textcat
go get github.com/pebbe/textcat/textcat
go get github.com/pebbe/textcat/textpat
Community Discussions
Trending Discussions on textcat
QUESTION
I am facing the following attribute error when loading glove model:
Code used to load model:
...ANSWER
Answered 2022-Mar-17 at 14:08spacy version: 3.1.4
does not have the feature from_glove
.
I was able to use nlp.vocab.vectors.from_glove()
in spacy version: 2.2.4
.
If you want, you can change your spacy version by using:
!pip install spacy==2.2.4
on your Jupyter cell.
QUESTION
I tried training a spacy model but recently I started to get some errors , i got the below error and i would like some one to help me resolve error
...ANSWER
Answered 2022-Mar-15 at 03:29Base on documentation they made some changes in version 3.x
and now it uses directly batch
without spliting texts, labels = zip(*batch)
.
QUESTION
As the self guide says, I've installed it with (conda environment)
...ANSWER
Answered 2021-Oct-01 at 23:49Are you sure you did install spacy-transformers? After installing spacy?
I am using pip: pip install spacy-transformers and I have no problems loading the en_core_web_trf.
QUESTION
The following link shows how to add custom entity rule where the entities span more than one token. The code to do that is below:
...ANSWER
Answered 2021-Jun-09 at 17:49You need to define your own method to instantiate the entity ruler:
QUESTION
I found this below code from kaggel, every time I run the code gets ValueError. This is because of new version of SpaCy.Please Help Thanks in advance
...ANSWER
Answered 2021-Mar-02 at 05:15The way add_pipe
works changed in v3; components have to be registered, and can then be added to a pipeline just using their name. In this case you have to wrap the LanguageDetector like so:
QUESTION
I'm trying to shift over to Spacy 3.0's training config file framework and am having trouble adjusting the settings to what I'd like to do. Simply put, I would like to use one of the out of the box textcat models (say, bag of words), but pass in the word embeddings produced by a pretrained transformer (e.g., bert base cased), without any fine tuning. So far I've been working off of the texcat config template provided on the Spacy website.
Any help would be much appreciated. I can provide additional details if necessary. Thank you!
...ANSWER
Answered 2021-Mar-22 at 14:52Try the following config. -G
switches to a transformer
and -o accuracy
switches to the textcat ensemble model:
QUESTION
I'm trying to use the spacy_langdetect package and the only example code I can find is (https://spacy.io/universe/project/spacy-langdetect):
...ANSWER
Answered 2021-Mar-20 at 23:11With spaCy v3.0 for components not built-in such as LanguageDetector, you will have to wrap it into a function prior to adding it to the nlp pipe. In your example, you can do the following:
QUESTION
This code works as expected when using Spacy 2.3.1, but throws an exception on the third line when using Spacy 3.0.1 (we also updated scispacy from .0.2.5 to 0.4.0:
...ANSWER
Answered 2021-Mar-08 at 10:36UmlsEntityLinker
is indeed a custom component from scispacy
.
It looks like the v3 equivalent is:
QUESTION
I am trying to train a text categorization pipe in SpaCy:
...ANSWER
Answered 2021-Feb-25 at 13:12It isn't allowed to call nlp.begin_training()
on pretrained models. If you want to train a new model, just use:
nlp = spacy.blank('en')
instead of nlp = spacy.load("en_core_web_sm")
However, if you want to continue training on an existing model call optimizer = nlp.create_optimizer()
instead of begin_training()
QUESTION
In a dfm how is it possible to detect non english words and remove them?
...ANSWER
Answered 2020-Dec-13 at 09:48You can do this using a word list of all English words. One place where this exists is in the hunspell
pacakges, which is meant for spell checking.
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