textClassifier | Text classifier for Hierarchical Attention Networks | Machine Learning library
kandi X-RAY | textClassifier Summary
kandi X-RAY | textClassifier Summary
textClassifierHATT.py has the implementation of Hierarchical Attention Networks for Document Classification. Please see the my blog for full detail. Also see Keras Google group discussion. textClassifierConv has implemented Convolutional Neural Networks for Sentence Classification - Yoo Kim. Please see the my blog for full detail. textClassifierRNN has implemented bidirectional LSTM and one level attentional RNN. Please see the my blog for full detail.
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Top functions reviewed by kandi - BETA
- Calculate the attention function .
- Cleans the string .
- Initialize the layer .
- Initializer .
- Compute mask .
- Compute the output shape .
textClassifier Key Features
textClassifier Examples and Code Snippets
Community Discussions
Trending Discussions on textClassifier
QUESTION
I am creating a sentiment analysis code for stock market analysis. This is the heart of the code:
...ANSWER
Answered 2021-Mar-27 at 02:01This piece of code worked for me:
QUESTION
Trying to use text classifier model shared by https://github.com/allenai/scibert/blob/master/scibert/models/text_classifier.py
Everything used to work and suddenly I keep getting this error: Cannot register text_classifier as Model; name already in use for TextClassifier
What might be the reason? any suggestion?
...ANSWER
Answered 2021-Feb-17 at 13:55The name is already taken. Something that’s already a part of AllenNLP uses that name already, so you need to pick a different one.
For the curious, AllenNLP creates a registry of models, so that you can select a model at the command line. (That’s what the decorator is doing.) This requires the names to be unique.
The name text_classifier was used by AllenNLP only after the external package you’re using used it. It worked in May 2019, when that file was last updated. But 17 months ago, AllenNLP started using it. So it’s not your fault; it’s a mismatch between those two packages (at least, in their current versions).
QUESTION
I am using Flair for sentimental analysis. However, when i try to predict the label, i am not able to get a Neutral class ever. Also, the confidence of class is too unreal, i.e it is positive with probability >0.97 always or negative with such high probability. Even the very neutral words are being predicted as positive or negative with a very high probability.
...ANSWER
Answered 2020-Sep-12 at 16:07The issue isn't with your code, it is the way the model (behind the scenes) is trained and the way it works. The English model Flair uses is trained on certain datasets (movie and product reviews) based on the release. If you want to look at the model file, it is usually located in the .flair sub-folder in your home directory.
Basically, you are using a pre-trained model provided to give you the score. To get a different score, you could either build your own model, possibly add to the existing model or you could use a different model.
You could try the other models and see what results you get by replacing this line:
QUESTION
I'm trying to train a PyTorch FLAIR model in AWS Sagemaker. While doing so getting the following error:
...ANSWER
Answered 2020-Aug-17 at 15:29This error is because your GPU ran out of memory. You can try a few things
Reduce the size of training data
Reduce the size of your model i.e. Number of hidden layer or maybe depth
You can also try to reducing the Batch size
QUESTION
ANSWER
Answered 2020-May-28 at 22:16finally i found out where my problem is.in ITEM's LAYOUT under RelativeLayout is a Linear Layout that i set background : android:background="@drawable/mapview" and when i clean it it work perfectly.this drawable is a rounded corners view.
QUESTION
I'm trying to use flair for sentiment analysis, but I also need to know how much each word influenced the score of a sentence.
I've followed this article to predict the sentiment, but it doesn't show how to extract the features of the given sentence. I'm assuming there is a way to do this feature extraction because of the way it's presented in that article, but I can't find it. I've tried reading the flair documentation and the code itself but didn't see a way to do so.
What I'm looking for is a functionality of this sort:
...ANSWER
Answered 2020-Apr-26 at 13:09The article actually has a link to a colab notebook at the bottom which I missed. It appears the way this is achieved in that article is just by classifying each word separately in addition to the whole sentence.
QUESTION
I am making quiz app for maths formulas. And because of the limitations, I am using "mathview extends webview" I want to show formulas in quiz options. For that I am using webview for each four options in quiz, so I want to make whole webview clickable like a button. How can I do this?
Below is my mathview code and here is my mainactivity
...ANSWER
Answered 2020-Apr-13 at 12:00You can treat MathView as any other view and setOnClickListener on it.
within onCreate() of your activity use:-
QUESTION
I'm very new to DL and I've been trying to use a seq2seq model to classify text (sentiment analysis) from this repo. The dataset I've used is amazon review polarity (first 2000 rows).Data-set basically consists of labels and corresponding text. My model is as follows:
...ANSWER
Answered 2020-Mar-13 at 09:15After experimenting around a little, I realised that I'd been trying to use a 2D input while the actual code was using 3D input. I referred this question which had an almost similar query and the solution to my query.
QUESTION
I am trying to make a program that program Displays data into recyclerView . I have a problem with my program the screen appears White color nothing display when I try to display data in recyclerView. If any one know what is problem into the code please help me. attached full code of my project. Also attached full Logcat.
Start with a page MainActivity
...ANSWER
Answered 2020-Feb-18 at 19:21sir you miss the third parameter of defining the that its a GET request
QUESTION
I'm really stuck building a NN for text-classification with keras using lstm and adding an attention_layer on top. Im sure Iam pretty close, but Im confused:
Do I have to add a
TimeDistributeddense layer after LSTM?And, how do I retrieve the Attention weights from my network (for visualization purpose)? - so that I know which sentence was 'responsible' that the document was classified as good or bad?
Say, I have 10 documents consisting of 100 sentences and each sentence is represented as a 500 element vector. So my documents matrix containing the sentence-sequences looks like: X = np.array(Matrix).reshape(10, 100, 500)
The documents should be classified to an according sentiment 1=good; 0=bad - so
...ANSWER
Answered 2020-Jan-13 at 10:211. Time distributed
In this case, you don't have to wrap Dense into TimeDistributed, although it may be a little bit faster if you do, especially if you can provide a mask that masks out a large part of the LSTM output.
However, Dense operates in the last dimension no matter what the shape before the last dimension is.
2. Attention weights
Yes, it is as you suggest in the comment. You need to modify the AttLayer it is capable of returning both its output and the attention weights.
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Install textClassifier
You can use textClassifier 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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