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Algorithms for Sentiment Analysis on Entity

I want to make sentiment analysis for an entity which was found, like Google NLP. Entity should have magnitude and score. Please share with me the possible research papers. p/s...

Asked on 12/14/2020 by Vladitapalov

1 answer

Fully-Connected DNN: Compute the numbers of free parameter in a DNN

A fully-connected DNN has layer sizes of 3-3-4-2, where the first layer size represents the input layer. We assume that all layers are affine ones (no ReLU). Give the dimensions...

Asked on 12/14/2020 by Ramón Wilhelm

1 answer

Questions about a multivariate timeseries forecasting model - keras

I have trouble understanding the model I'm trying to create.I have few questions so I'll explain my model first and what I'm trying to do: I have created sequences...

Asked on 12/13/2020 by wazzup

1 answer

How to use Cross Validation data set?

I am new to data science, and the dataset I am working on is divided into train set, test set, and validation set.However, till now I was splitting the...

Asked on 12/13/2020 by kern

1 answer

how do tree based methods deal with missing feature columns?

all, i have trained a model using xgboost. Some of the features are one hot encoded e.g. currency where it is either gbp or usd. it seems that when i...

Asked on 12/13/2020

1 answer

Word analysis in Python

I have a list of documents which look like this:["Display is flickering"]["Battery charger is broken"]["Hard disk is making noises"]These text documents are just free text.I have processed with...

Asked on 12/12/2020

2 answer

Classifiers and accuracy

I would like to ask you how to use classifier and determine accuracy of models.I have my dataset and I already cleaned the text (remove stopwords, punctuation, removed empty...

Asked on 12/12/2020

1 answer

How is it possible for RNN to do sentiment analysis?

I'm wondering how RNN can be used when doing sentiment analysis. It seems that the characteristic of RNN is to remember what appeared in the past and determine the value...

Asked on 12/12/2020 by WooseokChoi

3 answer

How do I correctly build model on given data to predict target parameter?

I have some dataset which contains different paramteres and data.head() looks like this Applied some preprocessing and performed Feature ranking -...

Asked on 12/12/2020 by Jhon Patric

2 answer

Doing a fine tuning after a transfer learning

I red about fine tuning and transfer learning for CNNs and I was wondering if we can do fine tuning after using transfer learning on the same CNN ,...

Asked on 12/12/2020

1 answer

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