Case Study : Understanding Sentiment Analysis in Social Media

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Do you want to understand how we built the most accurate Twitter Sentiment Analysis model for the Italian language in

In this seminar, we will together build, step by step, a sentiment analysis application using Colab platform:

After an introduction to the most common techniques used for sentiment analysis and natural language processing (NLP), we will put our hands on exploring three main NLP approaches:

1. Lexicon-Based Approach: this part will focus on WordNet, Polyglot, and NLTK tools for sentiment analysis.

2. Document-Based Approach: this part will use standard machine learning techniques like Naïve Bayes, Support Vector Machines, etc.

3. Context-Based Approach: we will explore deeper semantics of words using deep learning methods like CNN and LSTM.

6:15 pm – 6:30 pm Registration
6:30 pm – 8:00 pm Seminar of sentiment analysis
8:00 pm – Aperitivo & Networking

Bring your own laptop if you want to take some practice, we will take care of the rest.

Additional Information:
The seminar will be in English, minimum knowledge in Python is a plus.