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With the absence of automatic text summarization services that can potentially reduce the readers browsing and reading time it can be said that readers have been and being spending more time than they should browsing over the content that they are not interested in. Automatic Afan Oromo text summarizer especially for large amount of news releases by newspapers and online news agencies could then be justified as it is very essential to save the readers time. ADDIS ABABA UNIVERSITY SCHOOL OF...
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How to fill out online text summarizer

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How to fill out online text summarizer:

01
Open the online text summarizer website on your internet browser.
02
Locate the text input box or section where you can enter the text you want to summarize.
03
Copy and paste the text that you want to summarize into the designated text input box.
04
Review any additional options or settings that the online text summarizer may offer, such as setting the desired length of the summary or choosing specific summarization techniques.
05
Click on the "Summarize" or similar button to generate the summary.
06
Wait for the online text summarizer to process the text and generate the summary.
07
Once the summary is generated, review it for accuracy and clarity.
08
If necessary, make any edits or adjustments to the summary to ensure its quality.
09
Copy the summary to use it in your desired context, such as for a report, article, or presentation.

Who needs online text summarizer:

01
Students: Online text summarizers can be useful for students who need to quickly grasp the main points of lengthy articles, research papers, or books.
02
Researchers: Researchers often have to deal with large volumes of text, and using an online text summarizer can save them time by providing a concise overview of the material.
03
Professionals: Professionals from various fields can benefit from online text summarizers. Whether it's staying updated on industry news or summarizing important documents, these tools can aid in efficient information processing.
04
Content creators: Online text summarizers can assist content creators in getting an overview of multiple articles or documents quickly. This can help them gather information and ideas for creating their own content.
05
General readers: Sometimes, readers might not have the time or patience to go through lengthy articles or blog posts. Online text summarizers enable them to extract the key points and main ideas without having to read the entire text.

Instructions and Help about online text summarizer

(Suraj) Hello, world! It's Suraj, and we're going to make an app that reads an article of text and creates a one sentence summary out of it using the power of natural language processing. Language is in many ways the seat of intelligence. It's the original communication protocol that we invented to describe all the incredibly complex processes happening in our neocortex. Do you ever feel like you're getting flooded with an increasing amount of articles and links and videos to choose from? As this data grows, the importance of semantic density does as well. How can you say the most important things in the shortest amount of time? Having a generated summary lets you decide whether you want to deep dive further or not. And the better it gets, the more we'll be able to apply it to more complex language, like that in a scientific paper or even an entire book. The future of NLP is a very bright one. Interestingly enough, one of the earliest use cases for machine summarization was by the Canadian government in the early 90s for a weather system they invented called Fog. Instead of sifting through all the meteorological data they had access to manually, they let Fog read it and generate a weather forecast from it on a recurring basis. It had a set textual template and it would fill in the values for the current weather given the data, something like this. It was just an experiment, but they found that sometimes people actually prefer the computer generated forecasts to the human ones, partly because the generated ones use more consistent terminology. A similar approach has been applied in fields with lots of data that needs human-readable summaries, like finance. And in medicine, summarizing a patient's medical data has proven to be a great decision support tool for doctors. Most summarization tools in the past were extractive, they selected an existing subset of words or numbers from some data to create a summary. But you and I do something a little more complex than that. When we summarize, our brain builds an internal semantic representation of what we've just read and from that, we can generate a summary. This is instead an abstractive method and we can do this with deep learning. What can't we do with it? So let's build a tech summarizer that can generate a headline from a short article using Eras. We're going to use this collection of news articles as our training data. We'll convert it to pickle format, which essentially means converting it into a raw byte stream. Pickling is a way of converting a Python...

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An online text summarizer is a tool that automatically generates a concise summary of a longer text, highlighting the main ideas and essential information.
Users who need to condense lengthy documents or articles for easier comprehension, such as students, researchers, or professionals looking for quick insights, can utilize an online text summarizer.
To use an online text summarizer, you typically need to copy and paste the text you want to summarize into the provided input field and then click on a 'summarize' or 'generate' button.
The purpose of an online text summarizer is to save time by reducing the length of a text while retaining its essential content, making it easier to quickly grasp the main points.
The information reported by an online text summarizer usually includes the key ideas, themes, or conclusions derived from the original text, as well as any relevant data or statistics included in that text.
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