Anastasija,

There might be a few appropriate sentiment datasets listed in my homework
on Twitter sentiment analysis:

https://github.com/utcompling/applied-nlp/wiki/Homework5

There may also be some useful data sets in the Crowdflower Open Data
collection:

https://www.crowdflower.com/data-for-everyone/

Hope this helps!

-Jason

On Wed, 22 Jun 2016 at 15:59 Anastasija Mensikova <
mensikova.anastas...@gmail.com> wrote:

> Hi everyone,
>
> Some updates on our Sentiment Analysis Parser work.
>
> You might have noticed, I have enhanced our website (the GH page) recently,
> polished it and made it more user-friendly. My next step will be sending a
> pull request to Tika. However, my main goal until the end of Google Summer
> of Code is to enhance the parser in a way that will allow it to work
> categorically (in other words, the sentiment determined won't be just
> positive or negative, it will have a few categories). This means that my
> next step is to look for a categorical open data set (which I will
> hopefully do by the end of the weekend the latest) and, of course, enhance
> my model and training. After that I will look into how the confidence
> levels can be increased.
>
> Have a great day/night!
>
> Thank you,
> Anastasija Mensikova.
>

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