A premade list of these words, known as stop words, are included in the nltk package. the word “the”), these words should be excluded from the count. Since words that carry little meaning often occur most frequently (e.g. This application not only analyzes the polarity of what is queried, but also, it will keep track of frequent words that were mentioned. In this case, the model analyzes the sentiment in the text from Urban Dictionary. The SentimentIntensityAnalyzer uses VADER, a pretrained model from the natural language toolkit that performs sentiment analysis. After importing the module and application, Flask and the SentimentIntensityAnalyzer are initialized. There are a few things to note in the code. Ret += "Keywords:\n" + ", ".join(sorted_keywords) Scores = sia.polarity_scores(definitions) # Get and print polarity scores, print top 10 keywords Sorted_keywords = sorted(keywords, key=keywords.get, reverse=True) # Counting and sorting words in the text (excluding stop words) with the # the text by removing special characters and lowercasing itĭefinitions = anslate() # Concatenate each urban dictionary definition into one string and formatting # search for the query in Urban Dictionary's API Query = quote(body) # format special characters for URL query Stop_list += īody = request.form # obtain text from user Open the terminal on your computer, navigate to a suitable directory for your project, type in the following command, and hit enter.įrom _response import MessagingResponseįrom ntiment import SentimentIntensityAnalyzer First, you should create a parent directory that holds the project. Set up your project environmentīefore you can dive into the code, you will need to set up your environment. On the left-hand side of your dashboard, navigate to Phone Numbers > Manage > Buy a number.įind a suitable phone number you like on the Buy a Number page, and purchase it. Even if you are on a trial account, you are given trial credit on your balance to experiment with.įirst, log into your account at. If you haven’t obtained a phone number from Twilio already, you can buy one for your account. ngrok is a useful tool for connecting your local server to a public URL. If you haven’t yet, sign up for a free Twilio trial. Python 3.6 or higher installed on your machine. To continue with this tutorial, you will need: In this tutorial, you will build a sentiment analyzer with Python and Twilio SMS using Urban Dictionary as a reference for the most recent slang. For instance, do your coworkers misappropriate the □ emoji? How is it that □ has more positive sentiment than □? Emojis and slang have, not only different nuances, but vastly different interpretations between groups of people.
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