Its uniqueness lies in its'self-supervised', pre-training objective architecture. Unlike other models that infer on the meaning of a sentence by extracting small parts of it, Pegasus completely'masks' the sentence and tries to find it by reading the text before and after it. Pegasus is really good at data summarization, but it is also great at paraphrasing sentences. The model is extremely easy to use, doesn't require many dependencies and with just a few lines of code we'll have our augmented dataset ready for training. To be able to leverage our small dataset efficiently, we will be performing text Paraphrasing along with Synonym Replacement to come up with a dataset large and unique enough to train our Sentiment Analysis model with.

Artificial Intelligence has begun to impact industries in a big way but nowhere has the impact been as profound as it has been in the security vertical. New and innovative solutions are being released not just be established security vendors but also by smaller startups and together these solutions are adding value to the security operations of an organization. Let's discuss how AI shall impact the video surveillance industry in the near future. Initially, in the days of CCTV cameras the video used to be streamed live on the TV screens but very little effort was made to make any meaningful analysis of a possible security incident. The video surveillance solutions in those days were always reactive and continue to remain so in large parts of the world. Most agencies as for CCTV footage only when an incident has occurred or when there is a massive threat perception.