In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
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Question: The corpus is freely available at the following link
Question: Is this dataset publicly available?

Answer: Yes

Question: We show that by determining and integrating heterogeneous set of features from different modalities aesthetic features from posted images (colorfulness, hue variance, sharpness, brightness, blurriness, naturalness), choice of profile picture (for gender, age, and facial expression), the screen name, the language features from both textual content and profile's description (n-gram, emotion, sentiment), and finally sociability from ego-network, and user engagement we can reliably detect likely depressed individuals in a data set of 8,770 human-annotated Twitter users.
Question: What is the source of the textual data?

Answer: Users' tweets

Question: These recordings contain background noise (as is expected in a mall) and have different languages (Indians speak a mixture of English and Hindi).
Question: What languages are considered?

Answer:
English Hindi