Nowadays social media are being used to monitor the progress of viruses and share important prevention and treatment information. This has also allowed the creation of a community of people united by the same disease, to give themselves strength, comfort and advice. The objective of this work is to extract and understand discussions about HIV on a popular social media platform: Twitter, a micro-blogging application. Tweets with the hashtag #HIV were collected in the date range of one year, starting from November 12th 2018 to November 12th 2019. They were then filtered and cleaned using NLP techniques, which allowed the removal of duplicates, non-english texts and useless information, such as tweets only containing urls, mentions or hashtags.