October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Implementation
After creating the data structure in tabular format, as mentioned previously, we will be calculating the predicted answer to a question every time a user queries our bot. We load all of the question-answer pairs from the dataset.
Let's load our CSV file using pandas, and perform some pre-processing on the dataset:
import pandas as pdfilepath = 'sample_data.csv'csv_reader=pd.read_csv(filepath)question_list = csv_reader[csv_reader.columns[0]].values.tolist()answers_list = csv_reader[csv_reader.columns[1]].values.tolist()query= 'Can I get an Americano, btw how much it will cost ?'
The code for this project can be found at https://github.com/PacktPublishing/Python-Deep-Learning-Projects/tree/master/Chapter04/tfidf_version.
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