Hotel 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 to read the experience of each person who has given their opinion on the services of the hotel. This is often where the task of sentiment analysis comes in. during this article, I will be able to walk you through the task of Hotel Reviews Sentiment Analysis with Python.
The dataset that I am going to use for the task of Trip advice Hotel Reviews sentiment analysis is collected from Kaggle. You can get dataset from here. It contains data about 20,000 reviews of individuals about the services of hotels they stayed in for a vacation, business trip, or any type of trip. This dataset only contains two columns as Reviews and Ratings of the customers. So let’s get started.
Step 1: with the task of Hotel Reviews sentiment analysis with NLP by importing the necessary Python libraries and import the dataset and view the top 5 rows of the dataset:
Step 2: Now we will clean our data. We will filter our data based on ratings, where we have ratings less than 3 we will keep that in the ‘negative review’ variable, whereas we have 5 ratings we will keep that in the ‘five_review’ variable.
Step 3: We will create a sentiment column where sentiment which are equal to 5 will have positive sentiment otherwise negative, we will assign negative sentiment.
Step 4: Now, we will split our dataset into train and test.
Step 5: Modeling
Step 6: we will now test the accuracy of our model.
Step 7: Now, we will test our model on real Reviews.
This is how you can analyze the sentiments of hotel reviews. The simplest way to know if a hotel is right for you or not is to find out what people are saying about the hotel who have stayed there before. This is often where the task of hotel reviews sentiment analysis can help you decide whether or not a hotel is suitable for your trip. Hope you liked this article on sentiment analysis of hotel reviews with NLP.