June 2020
Intermediate to advanced
382 pages
11h 39m
English
Content preview from 40 Algorithms Every Programmer Should Know
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Case study: movie review sentiment analysis
Let's use NLP to conduct a movie review sentiment analysis. For this, we will use some open source movie review data available at http://www.cs.cornell.edu/people/pabo/movie-review-data/:
First, we will import the dataset that contains the movie reviews:
import numpy as npimport pandas as pd
Now, let us load the movies' data and print the first few rows to observe its structure.
df=pd.read_csv("moviereviews.tsv",sep='\t')df.head()
Note that the dataset has 2000 movie reviews. Out of these, half are negative and half are positive.
Now, let's start preparing the dataset for training the model. ...
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