[UPDATE] We are delighted to announce a lightning talk on "Multimedia Retrieval in Lifelogging" by Liting Zhou, and Chenyang Lyu who will be talking about "Sentiment Analysis Enhanced by User and Product Context"

The event will be live-streamed, so join us in live chat, chill with your tea/coffee and some biccies.

📢 If you have any announcements or questions, you can email us at dublin@pyLadies.com

❤️ A BIG THANK YOU

I'd like to thank all those who have been attending and watching our videos, we appreciate your support as it took a lot of work to set it up, if you are curious, you can read Vicky's post about it: https://dev.to/pyladiesdub/live-streaming-from-zoom-meet-via-obs-to-youtube-2l3h - any feedback would be helpful to make this process smoother and easier to manage. 🥰

TALK 1: Multimedia Retrieval in Lifelogging by Liting Zhou
(15 mins) The Multimedia Retrieval in Lifelogging is aimed to cope with many types of media including images, videos, audios and biometric data. In this talk, we will give a quick introduction of lifelog and talk about the lifelog moment retrieval in NTCIR workshop. Furthermore, the development of Lifelog Retreival system also will be described detailedly.

ABOUT Liting Zhou
Liting Zhou is a postdoctoral researcher at the Adapt Centre at Dublin City University. Her research topics are focused on multimedia analytics and lifelogging. Liting was a co-founder of the NTCIR-lifelog comparative benchmarking tasks at NTCIR.
http://ntcir-lifelog.computing.dcu.ie/

TALK 2: Sentiment Analysis Enhanced by User and Product Context by Chenyang Lyu
(15 mins)Past work that improves sentiment analysis by encoding user and product information has been limited to considering only the text of the current review. We investigate incorporating additional review text available at the time of sentiment prediction that may prove meaningful for guiding prediction. Firstly, we incorporate all available historical review text belonging to the author of the review in question. Secondly, we investigate the inclusion of historical reviews associated with the current product (written by other users). We achieve this by explicitly storing representations of reviews written by the same user and about the same product and force the model to memorize all reviews for one particular user and product. Experiment results on IMDB, Yelp 2013 and Yelp 2014 datasets show improvement to state-of-the-art of more than 2 percentage points in the best case.

About Chenyang Lyu

Chenyang is currently a PhD student of Computer Science at Dublin City University, his research interests are mainly about Natural Language Processing especially on sentiment analysis and question&answering related topics.

🕰 SCHEDULE (*subject to change)
18:30 - 18:35 Event Starts / Settle down with cup of tea/coffee
18:35 - 18:45 Welcome & Announcements by Vicky
18:45 - 19:00 Multimedia Retrieval in Lifelogging by Liting Zhou
19:00 - 19:15 Sentiment Analysis Enhanced by User and Product Context by Chenyang Lyu
19:15 - 19:30 🚨 Room for 1 more Lightning Talk, or we will just do Q&A
19:30 Event ends

📢 CALL FOR SPEAKERS for 2021
Interested in speaking at our upcoming meetups, please submit talk details to: https://pyladiesdublin.typeform.com/to/VvW3iME6

If you have referrals of speakers you want us to invite, let us know also, being a virtual event helps close the boundaries of inviting speakers further afield than Ireland. 😊

🤔 QUESTIONS: Email dublin@pyladies.com.

🔍 FAQ
Q. I'm not female, is it ok for me to attend?
A. Yes, PyLadies Dublin events are open to everyone at all levels.

Q. What do you do at PyLadies Dublin Meetups?
A. We have short (or long talks), demos, folks working on their own projects, ask questions on Python-related topics, work on projects together or generally chit-chat and meet like-minded people.

Q. Do you have a Code of Conduct?
A. Yes, you can find it at dublin.pyladies.com