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import streamlit as st | |
from textblob import TextBlob | |
st.header("Sentiment Analyzer 2 -- Textblob") | |
st.write(""" | |
"Input text and submit. First, the machine will present a sentiment score. A score closer to 1 indicates the machine classifying the text as containing positive sentiment. A score closer to -1 indicates the machine classifying the text as containing negative sentiment. | |
Furthermore, the machine will present a subjectivity score. A score closer to 1 indicates the machine classifying the text as containing most subjectivity whereas a score closer to 0 indicates the text as containing most objectivity." | |
""") | |
input = st.text_input("Input text and submit.") | |
if st.button("Submit"): | |
analysis = TextBlob(input) | |
polarity_score = analysis.sentiment.polarity | |
subjectivity_score = analysis.sentiment.subjectivity | |
st.write("Sentiment score: ", str(polarity_score), "Subjectivity score: ", str(subjectivity_score)) | |