Tag: nlp
Sentiment Analysis using TextBlob
Sentiment analysis or opinion mining can be used to gain insights from large amounts of data. It uses natural language processing, text analysis, and computational linguistics to detect and extract emotional content from text-based sources. It is used to determine the attitudes, opinions, and emotions of a speaker or writer with respect to some topic…
Read MoreStep-by-Step Process of Implementing Stemming and Lemmatization in Python?
Install the Natural Language Toolkit (NLTK) library. This library provides a range of tools for natural language processing, including stemming and lemmatization algorithms. You can install it using pip install nltk. Import the necessary functions from the NLTK library. For example, to use the Porter stemmer, you would use the following import statement: from nltk.stem.porter…
Read MoreWhat is the Normal Distribution?
Probability distribution is the function that shows the probabilities of the outcome of an event or experiment. Consider a feature (i.e., column) in a dataframe. This feature is a variable and its probability distribution function shows the likelihood of the values it can take. Probability distribution function are quite useful in predictive analytics or machine…
Read MoreWhat are decorators in Python?
Decorators are used to add some design pattern to a function without changing its structure. Decorators generally are defined before the function they are enhancing. To apply a decorator, we first define the decorator function it is applied to and simply add the decorator function above the function it has to be applied to. For…
Read MoreHotel Sentiment Analysis using NLP
Whenever we are trying to find hotels for vacation or travel, we always prefer a hotel known for its services. The simplest way to find out whether a hotel is right for you or not is to find out what people are saying about the hotel who have stayed there before. Now it’s very difficult…
Read MoreWhat is doc2vec and word2vec in NLP?
Doc2vec is a technique that extracts semantic information from documents and then uses that information to classify the documents. By applying Doc2vec to existing documents, it becomes possible for AI software to rapidly identify similar topics in a large collection of text without having to read the entire corpus. This technique has been used in…
Read MoreHow to Convert text into features?
In this chapter, we’re going to cover introductory to advanced feature engineering (text to features) styles. By the end of this chapter, you’ll be comfortable with the following recipes One Hot encoding Count vectorizer N- grams Hash vectorizer Term Frequency- Inverse Document Frequency (TF- IDF) Implementing word embedding Implementing fastText Now that all the text…
Read MoreNatural Language Processing Interview questions Part – 2
1 – What is an ensemble method in NLP? Ensemble methods are a group of machine learning algorithms that work together to solve a problem. They are typically used when the machine learning algorithm is not able to solve the problem on its own or when it has not been trained enough. An ensemble method…
Read MoreNatural Language Processing Interview questions Part – 1
1 – What are some of the common NLP tasks? NLP is the process of understanding a sentence and then generating a response. It has been used in many different industries to help humans do their jobs more efficiently. Some of the common NLP tasks are: Speech recognition: This is when a computer converts spoken…
Read MoreWhat is multilayer perceptron?
A multi-layer perceptron is a type of artificial neural network. It has one or more hidden layers between the input and output layers, each of which can be thought of as a series of processing units connected to each other in a hierarchical tree structure. The input layer nodes are connected to the hidden layer…
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