Google introduces its SmartReply feature for YouTube
creators. This technology with the help of artificial intelligence analyses the
message from the user and predicts the response for it.
Initially, this A.I. based technology was used in Gmail,
android messages and to other android devices to suggest messages and replies.
This feature is now implemented in YouTube studio. From YouTube Studio’s
comments section, creators can filter, view and respond to comments from across
their channels. Currently, SmartReply
for YouTube is only available for English and Spanish language creators.
(Image source: Google)
As YouTube developers receive enormous volume of responses
to their videos from viewers, SmartReply will save a great amount of time and
efforts in replying to each comment manually and allowing them to be in touch
with the viewers more easily. However, the YouTube replies will be still chosen
by the creator from the suggestions provided by the software. This technology will
not post anything by itself but will only provide suggestions.
According to Google,” In comparison to emails, which
tend to be long and dominated by formal language, YouTube comments reveal
complex patterns of language switching, abbreviated words, slang, inconsistent
usage of punctuation, and heavy utilization of emoji.” This was the difficulty faced by Google
while implementing the SmartReply feature on YouTube.
(Image source: Google)
Initially, SmartReply encoded word-by-word with a neural
network, and then decoded prospective replies with another neural network.
But this method was computationally expensive, so in place of this approach, a
system was developed where it searches through a predefined list of suggestions
for the most perfect replies. This system worked well for Gmail and
other SmartReply systems but it faced challenges for YouTube (because of its
content like slang, abbreviated words, emoji, ASCII, typos, etc.), to
accomplish this Google applied a deep transform network which is able to model
words and phrases from the sequence of characters or bytes and making SmartReply’s first
cross-lingual and character byte-based version of the technology.
Ideally, they want that the software to
provide suggestions only when the creator would reply to the comment and
when the model has a high chance of providing a sensible and specific response
or it is very likely to be useful to the viewer’s comment.
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