![]() Text Summarization methods are grouped into two main categories: Extractive and Abstractive. ![]() This section will provide an overview of the main methods of performing Text Summarization. This makes the video much more understandable at a glance. ![]() will become an Arsenal for vaccines for other countries.ħ4:12: After 20 years of value, Valor and sacrifice, it's time to bring those troops home.ħ6:01: We have to come together to heal the soul of this nation.Ĩ0:02: Gun violence has become an epidemic in America.Ĩ4:23: If you believe we need to secure the border, pass it.Ĩ5:00: Congress needs to pass legislation this year to finally secure protection for dreamers.Ĩ7:02: If we want to restore the soul of America, we need to protect the right to vote. Using a Text Summarization API with time stamps, you might be able to generate the following summaries for key sections of the video: 1:45: I have the high privilege and distinct honor to present to you the President of the United States.ģ1:42: 90% of Americans now live within 5 miles of a vaccination site.Ĥ4:28: The American job plan is going to create millions of good paying jobs.Ĥ7:59: No one working 40 hours a week should live below the poverty line.Ĥ8:22: American jobs finally be the biggest increase in non defense research and development.Ĥ9:21: The National Institute of Health, the NIH, should create a similar advanced research Projects agency for Health.ĥ0:31: It would have a singular purpose to develop breakthroughs to prevent, detect and treat diseases like Alzheimer's, diabetes and cancer.ĥ1:29: I wanted to lay out before the Congress my plan.ĥ2:19: When this nation made twelve years of public education universal in the last century, it made us the best educated, best prepared nation in the world.ĥ4:25: The American Family's Plan guarantees four additional years of public education for every person in America, starting as early as we can.ĥ7:08: American Family's Plan will provide access to quality, affordable childcare.Ħ1:58: I will not impose any tax increase on people making less than $400,000.Ħ7:34: He said the U.S. ![]() Say, for example, you wanted to summarize the 2021 State of the Union Address–an hour and 43 minute long video. Some Text Summarization APIs provide a single summary for a text, regardless of length, while others break the summary down into shorter time stamps. Text Summarization can be applied to static, pre-existing texts, like research papers or news stories, or to audio or video streams, like a podcast or YouTube video, with the help of Speech-to-Text APIs. In Natural Language Processing, or NLP, Text Summarization refers to the process of using Deep Learning and Machine Learning models to synthesize large bodies of texts into their most important parts. In this article, we’ll discuss what exactly Text Summarization is, how it works, a few of the best Text Summarization APIs, and some of its use cases. Product teams are integrating Text Summarization APIs into their intelligent platforms to create AI-powered summarization tools for calls, interviews, law documents, and more. In NLP, Text Summarization models automatically shortens documents, papers, podcasts, videos, and more into their most important soundbites, powered by advanced Deep Learning and Machine Learning research.
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