You can look at the following papers.

Maybe EmotionML

https://www.w3.org/TR/emotionml/

https://www.w3.org/TR/2010/WD-emotionml-20100729/

https://www.w3.org/2005/Incubator/emotion/XGR-emotion/

or FACS

https://en.wikipedia.org/wiki/Facial_Action_Coding_System

Other:

http://www.popsci.com/science/article/2013-01/emotions-which-there-are-no-english-words-infographic

http://www.redorbit.com/news/science/1113110675/emotions-detected-by-computer-model-040214/

http://phys.org/news/2014-03-distinct-emotional-expressionseven-happily-disgusted.html

https://www.newscientist.com/article/dn25623-tweets-map-the-worlds-emotional-response-in-real-time/

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0109949

https://www.newscientist.com/article/mg22229683.800-speech-analyser-monitors-emotion-for-call-centres

http://newatlas.com/computer-system-recognizes-voice-emotions/20572/

http://www.eurekalert.org/pub_releases/2016-01/mu-hsc011816.php

http://www.eurekalert.org/pub_releases/2015-02/mu-ce022415.php

http://arxiv.org/abs/1405.1359

http://phys.org/news/2011-01-emotions-style.html

https://www.newscientist.com/article/mg22630212.900-say-hello-to-machines-that-read-your-emotions-to-make-you-happy/

http://phys.org/news/2012-12-smartphones-emotional-intelligence-team-algorithm.html

http://www.ece.rochester.edu/projects/wcng/project_bridge.html

http://www.psychologicalscience.org/index.php/news/releases/language-and-emotion-insights-from-psychological-science.html

http://www.beyondverbal.com/

Regards,

Joachim

Thank you Sayan.

Thank you Joachim.

for a textual analysis of texts in late imperial China, see  the database http://paolosantangelo.altervista.org/emotions.htm

best

paolo

thanks Paolo.

thanks Mahtab, but I am looking for more then two classes(just positive or negative), that captures the user's current mental state.

yes, states of mind are classified at levels of families, and then on specific emotions. but my database is for historical-anthropological purpose, not for experimental psychological tests

You might be interested in datasets with texts and their annotations I developed for emotional research (see "Opinion Mining and Lexical Affect Sensing").

Thesis Opinion Mining and Lexical Affect Sensing

Here

http://nlp.cs.swarthmore.edu/semeval/tasks/task14/summary.shtml

you can find a data set of newspaper titles, each one associated with a ground truth (human annotated) of six emotions. Thus, for each sentence you willl have not a single emotion but a weighted vector of emotions.

in fact, you should rely on a particular affective model.

Following this project:

https://www.researchgate.net/project/SEMO-SEMantic-EMOtion-Recognition-Model

you will find in few weeks more results and data

Hey man, take a look at my paper, it's not currently published anywhere, it will be soon, the dataset I use contains facebook posts from a bunch of fanpages; therefore, likes, shares, and the well known REACTIONS which are EMOTIONS. You could check it out in my github.

https://github.com/rgap/simbig2016-facebook-reactions/tree/master/2_paper

Check out the new TidyText R package by Silge & Robinson - Article tidytext: Text Mining and Analysis Using Tidy Data Principles in R

https://www.tidytextmining.com/

hey sir, did u find the data set you needed. I am in urgent need of this dataset. It contains 7 different emotions namely sad, happy, hate and so on. Can you please provide me this dataset?

i was working for a dataset, which is still under construction, and still needs to be updated and revised. i can just send you the link with information : http://paolosantangelo.altervista.org/emotions.htm

for more information, you can see some of my published works.

Jay Patel have a look at this:

https://github.com/lukasgarbas/nlp-text-emotion/tree/master/data/datasets

you can find emobank and semEval2017 text emotion data here

https://github.com/JULIELab/EmoBank

http://saifmohammad.com/WebPages/EmotionIntensity-SharedTask.html

WASSA-2017 Shared Task on Emotion Intensity

https://saifmohammad.com/WebPages/EmotionIntensity-SharedTask.html

SemEval-2018 Task 1: Affect in Tweets (AIT-2018)

https://competitions.codalab.org/competitions/17751#learn_the_details-datasets

SemEval-2019 - Task 3

EmoContext Dataset: https://www.humanizing-ai.com/emocontext.html