A really good one is vaderSentiment
(https://github.com/cjhutto/vaderSentiment).

regards
Kay-Uwe Moosheimer

Am 28.04.2017 um 12:24 schrieb Alonso Isidoro Roman:
> I forked some time ago a twitter analyzer, but i think the best is to
> provide the original link
> <https://github.com/vspiewak/twitter-sentiment-analysis>.
>
> If you want you can take a look to my fork
> <https://github.com/alonsoir/twitter-sentiment-analysis>.
>
> regards
>
>
> Alonso Isidoro Roman
> https://about.me/alonso.isidoro.roman
>
> <https://about.me/alonso.isidoro.roman?promo=email_sig&utm_source=email_sig&utm_medium=email_sig&utm_campaign=external_links>
>
> 2017-04-28 10:05 GMT+02:00 Gaurav1809 <gauravhpan...@gmail.com
> <mailto:gauravhpan...@gmail.com>>:
>
>     Has anyone used CoreNLP from stanford for sentiment analysis in Spark?
>     It is not working as desired or may be I need to do some work
>     which I am not
>     aware of.
>
>     Following is the example.
>
>     1). I look forward to interacting with kids of states governed by the
>     congress. - POSITIVE
>     2). I look forward to interacting with CM of states governed by the
>     congress. - NEGETIVE (CM is chief minister)
>
>     Please note the change in one word here. kids -> CM
>     Statement 2 is not negetive but coreNLP tagged it as negetive.
>     is there anything I need to do to make it work as desired? Any
>     alteration
>     required? Please let me know if I need to plug-in any custom code.
>     Whoever has knowledge on this, please suggest something.
>     Also, suggest if there is any other better alternate to coreNLP.
>
>     Thanks.
>     Gaurav
>
>
>
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