- š Hi, Iām @alessiogandelli
- š Iām interested in Data Science, Social Network Analysis, Startup, NLP
- š± Iām currently learning how to build an AI assistant using cheshire-cat
- š« How to reach me: telegram @d8eea e-mail: [email protected]
Analyzing Polarization on Twitter using topic modeling and multilayer networks in the context of climate change
This is the project for my master thesis
topic_modeling_eval: Different topic modeling techniques have been evaluated
tweets to topic network: a library that given a set of tweets creates a multi-layer network of retweets where each layer is a topic
climate_network_analysis: the analysis of the network created
we are creating a platform to help university students to organize and plan their study, with the goal to save time and be more productive
wikipedia-revert: My BSc thesis project: analysis of reverts and edit wars on Wikipedia
covid-dashboard: The aim of this project was to get familiar with different big data technologies such as Spark, Kafka, Mqtt and design the data pipeline, I also improved my knowledge of PostgreSQL, MongoDB, Pandas
image-retrieval: I used tensorflow to implement a Siamese Network, the goal of this project is an image search engine that returns the most similar image to the query taken from a gallery.
feat-network: Social networks analysis of spotify artists, with a focus on italian music
attention-analysis: analysis of sensor data and time diary of students trying to understand study patterns and factor of distractions
tweet-musk-network: what happened after twitter acquisition? an analysis of the comment section of Elon Musk's posts using NLP and Network analysis
geospatial-housing: use geospatial data to find the right house
bottana-translator: A telegram bot that uses Deepl api to translate messages in a group chat or sent directly to the bot
ninox-to-xml: Node module that collect data from ninox and generate a xml according to the format provided by the Italian financial ministry
chess-pgn-tp-url: A telegram bot that given a game in pgn format returns a url where you can visualise the game