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Explain the steps required before text classification?

Before classification of text data, a text needs to be cleaned by following preprocessing steps Lowercasing Lowercasing is one of the simplest and…

Data Science · Natural Language Processing

1 Answer · 1.1K Views · Answered ✓

Asked by: Neha Tambe · 6 years ago

Explain how a polynomial regression works.

Polynomial Regression is linear on the coefficients since we don’t have any power of the coefficients (all the coefficients are raised to the power…

Data Science

1 Answer · 703 Views · Answered ✓

Asked by: Ajit yadav · 6 years ago

Mention some of the applications of text classification?

Text classification can be used in many cases in real world applications. Also, they are helpful in solving problems like time management and they…

Data Science · Natural Language Processing

1 Answer · 1.2K Views · Answered ✓

Asked by: Natasha Kadam · 6 years ago

Explain how to use text classification along with a case study?

We will be performing a text classification technique on sms collection which contains number of spam and ham messages.Now we will check and remove…

Data Science · Natural Language Processing

1 Answer · 1.5K Views · Answered ✓

Asked by: Nikita Gavde · 6 years ago

Explain how to use tf-idf in R?

We can implement in R after importing following librariesWe will perform the following operation on the doc sentence.We get the following output in…

Data Science · Natural Language Processing

1 Answer · 1.0K Views · Answered ✓

Asked by: Niharika Deshpande · 6 years ago

Explain Tf-Idf and explain how to compute the same?

Tf-idf or term frequency-inverse document frequency, is a measure of weight often used in information retrieval and text mining techniques. This…

Data Science · Natural Language Processing

1 Answer · 1.8K Views · Answered ✓

Asked by: Ira Joshi · 6 years ago

When to choose one-hot encoding and word embedding?

One-hot encoding is a method which vectorizes any categorical features. It can be done just by adding one to each category. It is simple and fast but…

Data Science · Natural Language Processing

1 Answer · 2.8K Views · Answered ✓

Asked by: Aishwarya Jhadav · 6 years ago

How to import FastText from the gensim?

To import Fast Text, we need only one line of data to train the word embedding.Let us try a word to fit in the model and see in the similarity

Data Science · Natural Language Processing

1 Answer · 1.7K Views · Answered ✓

Asked by: Ashish Sinha · 6 years ago

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