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First we import the libraries and the dataset # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd #…
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library(class) train
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Name is simply an identity given to objects, you can also call it as an identifier. In python, everything is an object and the name is using to…
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Python is an object-oriented language and in python programming, we mostly play around defining objects. To access those objects in our programming…
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Anaconda is a platform used by most Data science for R and python programming, to install Anaconda please follow below steps: Go to…
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Sentence segmentation is the process of deciding where the sentences start or end in NLP. It is also known as sentence breaking or sentence boundary…
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Stanford NER is fully implemented by JAVA and it uses the concept of linear chain conditional random fields sequence models. Since it uses such…
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Many measures are developed and revised to evaluate and increase the performance of Named Entity Recognition. The most important measures are…
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To visualize specific entities, we need to pass the specific tag we need to view in order to restrict the visualization.Here, only ORG and PRODUCT…
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When the number of predictor variables exceeds a handful, many of the records to be classified will be without exact matches. This can be understood…
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Bayesian classifier often works with categorical variables. But it is also possible to make classification in numeric data. But for such cases, we…
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If we consider the spam classification model, it may happen that some words never appear in the past while model building but may appear in a later…
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