Movie review sentiment analyzer robot

> I love what you are trying to do with your hair... > Hey, thanks! 😊 > Wait a second... > What do you mean, _trying_? 🤔

> You are at the top of the bell curve! > Thank you so much! 😄 > Being at the top is a good thing, right?! > Wait... > Did you just tell me I'm not special in any way, in fact, totally average? 🤨

{ "aws": { "AWS_KEY": "aws-key-here", "AWS_KEY_ID": "aws-key-id-here" } }

*** Settings *** Documentation A movie review sentiment analyzer robot. Tries to classify ... written free-text reviews either as positive or negative. ... How hard can it be? What could possibly go wrong? Library RPA.core.notebook Library RPA.Browser.Selenium Library RPA.Cloud.AWS robocloud_vault_name=aws *** Variables *** ${AWS_REGION}= us-east-2 ${MOVIE_BROWSER_INDEX}= 2 ${MOVIE_REVIEWS_WEBSITE_URL}= http://www.rpachallenge.com ${SENTIMENT_ANALYSIS_WEBSITE_URL}= https://www.danielsoper.com/sentimentanalysis/default.aspx ${SENTIMENT_BROWSER_INDEX}= 1 ${USE_COMPREHEND}= False *** Tasks *** Analyze movie reviews, like a boss. Initialize sentiment services Search popular movies Start challenge. This will be easy! Classify reviews as positive or negative. Not even breaking a sweat... Submit challenge. See? Easy! Admire my accomplishment! [Teardown] Close All Browsers *** Keywords *** Open movie reviews website Open Available Browser ${MOVIE_REVIEWS_WEBSITE_URL} Maximize Browser Window Click Element When Visible css:a[href="/movieSearch"] Initialize sentiment services IF ${USE_COMPREHEND} Initialize Comprehend client ELSE Open sentiment analysis website END Open movie reviews website Open sentiment analysis website Open Available Browser ${SENTIMENT_ANALYSIS_WEBSITE_URL} Initialize Comprehend client Init Comprehend Client ... use_robocloud_vault=True ... region=${AWS_REGION} Switch to movie reviews website IF ${USE_COMPREHEND} == False Switch Browser ${MOVIE_BROWSER_INDEX} Wait Until Page Contains RPA Challenge END Search popular movies Switch to movie reviews website Click Button Get Popular Movies ${movie_links_locator}= Set Variable css:span.linkPointer Wait Until Element Is Visible ${movie_links_locator} Start challenge. This will be easy! Wait Until Page Does Not Contain Element css:button.disabled Click Button Start Timer Get movie links Switch to movie reviews website ${movie_links_locator}= Set Variable css:span.linkPointer Wait Until Element Is Visible ${movie_links_locator} @{movie_links}= Get WebElements ${movie_links_locator} RETURN @{movie_links} Get reviews ${reviews_locator}= Set Variable css:.reviewsText .card Wait Until Element Is Visible ${reviews_locator} @{reviews}= Get WebElements ${reviews_locator} RETURN @{reviews} Classify reviews as positive or negative. Not even breaking a sweat... @{movie_links}= Get movie links FOR ${movie_link} IN @{movie_links} Open movie modal ${movie_link} @{reviews}= Get reviews Classify reviews @{reviews} Close movie modal END Open movie modal [Arguments] ${movie_link} Click Element When Visible ${movie_link} Comprehend sentiment [Arguments] ${text} ${sentiment}= Detect Sentiment ${text} Notebook Json ${sentiment} IF "${sentiment["Sentiment"]}" == "NEGATIVE" ${sentiment_score}= Set Variable -1 ELSE ${sentiment_score}= Set Variable 1 END RETURN ${sentiment_score} Classify reviews [Arguments] @{reviews} FOR ${review} IN @{reviews} ${review_text}= ... Get Text ... ${review.find_element_by_class_name("card-content")} Notebook Print REVIEW: ${review_text} IF ${USE_COMPREHEND} ${sentiment}= Comprehend sentiment ${review_text} ELSE ${sentiment}= Get sentiment ${review_text} END Switch to movie reviews website ${actions}= ... Get WebElement ... ${review.find_element_by_class_name("card-action")} ${positive_link}= ... Get WebElement ... ${actions.find_element_by_css_selector("a:first-child")} ${negative_link}= ... Get WebElement ... ${actions.find_element_by_css_selector("a:last-child")} IF ${sentiment} >= 0 Click Link ${positive_link} ELSE IF ${sentiment} < 0 Click Link ${negative_link} END END Switch to sentiment analysis website IF ${USE_COMPREHEND} == False Switch Browser ${SENTIMENT_BROWSER_INDEX} Wait Until Page Contains Free Sentiment Analyzer END Get sentiment [Arguments] ${text} Switch to sentiment analysis website Input Text accordionPaneSentimentAnalysis_content_txtText ${text} Click Button accordionPaneSentimentAnalysis_content_btnAnalyzeText Wait Until Element Is Visible ... css:#accordionPaneSentimentAnalysis_content_lblInterpretation span:nth-of-type(2) ${sentiment_score_text}= ... Get Text ... css:#accordionPaneSentimentAnalysis_content_lblInterpretation span:nth-of-type(2) ${sentiment_score}= Convert To Number ${sentiment_score_text} Notebook Print SENTIMENT: ${sentiment_score} RETURN ${sentiment_score} Close movie modal Switch to movie reviews website Click Element When Visible css:.modal-close Wait Until Page Does Not Contain Element ... css:.modal-overlay.velocity-animating Submit challenge. See? Easy! Click Button Submit Admire my accomplishment! Wait Until Element Is Visible css=.congratulations Capture Element Screenshot ... css=.congratulations ... challenge-results.png

Interpretation: This text has a sentiment score of 100.0. This means that the overall sentiment or tone of this text is very positive / enthusiastic.