In this assignment, you will develop a multiclass classifier
that predicts the most probable hashtags
for given tweets. We consider a supervised learning setting where a
small number of training
and validation tweets and their corresponding hashtags are
provided. Note that hashtags are usergenerated
content and may not be precise or comprehensive. However, hashtags
of test tweets are
precise and comprehensive as they are verified by human annotators
in the hashtag space of this
assignment. The dataset is available on the following
files:
• hashtags.txt: contains newline-separated hashtag class ids and
corresponding hashtags,
• train.txt: contains newline-separated training tweet ids followed
by their corresponding
comma-separated hashtag ids and content.
• val.txt: validation data in the same format as train.txt,
and
• test.txt: test data in the same format as train.txt except that
hashtag ids are missing.
(I Can you please make for me the correct python code
for this task as soon as possible)
In this assignment, you will develop a multiclass classifier that predicts the most probable hashtags for given tweets.
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answerhappygod
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In this assignment, you will develop a multiclass classifier that predicts the most probable hashtags for given tweets.
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