Sentiment analysis is a very large area, and includes a lot of different domains (like movie reviews, political commentary, humorous language, etc.) You may want to narrow your focus to a particular sentiment problem and then it might be more clear what data could be available.
The annual Semeval event has a lot of nice sentiment oriented data sets available. One example of what you can find there is emoji prediction, which is a rather fun task:
That is just one example - general info about Semeval for each year (with many different tasks, some of them sentiment) is available at :
http://alt.qcri.org/semeval2019/ http://alt.qcri.org/semeval2018/ etc...
If you are feeling daring you might consider participating in a 2020 task. :) http://alt.qcri.org/semeval2020/
Best of luck, Ted --- Ted Pedersen http://www.d.umn.edu/~tpederse
On Tue, Jun 25, 2019 at 1:58 PM Kiefer, Katharina
<kkiefe02 at students.uni-mainz.de> wrote:
> Good morning,
> my name is Katharina, I'm from Germany and I'm currently working on my master thesis about sentiment analysis and machine learning. Therefore I am looking for annotated data that could be used for this. Thank you in advance for your help.
> Best wishes
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