radhakrsna

We are glad that you liked it.

I will try to port it to Safari.

Thank you very much for taking the time to use the app and provide your feedback.

We are glad that you liked it.

Yes, if the webpage doesn't have that much content then it would return the most relevant line.

Thank you very much for taking the time to use the app and provide your feedback.

We are glad that you liked it.

That's a very good suggestion. By tweet bot, you mean when someone tweets an article link to the bot, it would respond back with the summary of that article, right?

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Hi,

We are glad that you liked it.

We also have a chrome extension which does exactly as you say - https://chrome.google.com/webstore/detail/tldr-this-free-aut...

Thank you very much for taking the time to use the app and provide your feedback.

Ah right, thank you for letting us know.

Hi,

It is mainly designed for articles so it wouldn't give any useful info when used on landing pages etc.

There are two kinds of article summarization. We use the extractive approach wherein top n relevant sentences from the article are selected. If the document is too short, it wouldn't select many sentences.

Thank you very much for taking the time to use the app and provide your feedback.

Hi, Currently, we don't provide that but that's a very good suggestion.

Right, thanks a lot.

Ah right, thank you for the detailed explanation. Currently, we are processing the text using a Python backend. In order to process it on the user's side, I guess we'll have to use Javascript. I will try to fix that in the next version. Thank you very much.

Hi, Sure, I will create an API endpoint that will allow you to do that as soon as possible. Thanks

Hi, We use a version of the TextRank algorithm to rank each of the text sentences in the article and then select the top 5 most representative sentences from the article. Yes, it is Free and we plan to make it open-source soon as well. Thank you very much for taking the time to use the app and provide your feedback.

Hi,

The goal is the same.

TLDR This uses a different algorithm. It is a side project I developed to test out NLP.

Although there are some web apps out there, that allow you to summarize an article, there really isn't any useful chrome extension that does the job well. TLDR This comes with an accompanying chrome extension as well.

Thank you again for your feedback.

Hi,

Thank you very much for taking the time to use the app and providing your feedback.

Hi, We used a python library called newspaper to do it.

Hi,

That's a very good suggestion. I didn't know it was that easy to build an extension for Firefox. I will publish it on the Mozilla store as soon as possible.

Thank you very much for taking the time to use the app and providing your feedback.

Hi,

- Yes, you are totally right. TextRank is an extractive method. - Ah right. But we aren't storing any information on our servers, just showing selected sentences to the user. - We select the top 5 sentences which have the highest relevancy to the article. I am not an expert in this field so not too sure if that's the best way. Just started with NLP a few days back and wanted to test it out by developing a small application.

Yes, it works on quite a few articles and but also there are some articles where it fails to give accurate results.

Ah nice, I would like to hear more about what you are working on. Let me know if I could contribute to it in some way.

Thank you again for your feedback.

Thank you for your feedback.

I am sorry to hear it didn't work on the article you tried.

I have personally tried it on a number of articles and it seems to provide good results. Also, I have received feedback from a number of users who say that it worked for them. But yes there are some articles where it fails to give accurate results since the "article summarisation" technology is still in its development stage.

We will try to improve it in the next version.

Thank you again for your feedback.

We are glad that you liked it.

That's a very good suggestion. We will try to incorporate it in our next update.

Thank you very much for taking the time to use the app and provide your feedback.

Thanks a lot. Sure, first we create a list of all the individual sentences in the article. Then, we use the TextRank algorithm to rank each of the text sentences. Finally, we select the top 5 most representative sentences from the article.

Hi everyone

I am delighted to share my new project "TLDR This" with you guys.

Problem : There's so much content out there but too little time to read. So many times, it happens that there's a long article that we're interested in, but we don't really feel like scouring through it to extract relevant information from it.

Hence, I created "TLDR This" to help you navigate relevant content quickly and easily, without having to read the whole thing.

Steps to get cracking - 1. Copy and paste either the URL or the text of the article you'd like summarized. 2. Press the "Process Text" button, and you are good to go.

TLDR This also comes with a chrome extension, allowing you to summarize any webpage at the click of a button.

How to use the chrome extension? Just click the “tl;dr” button in Chrome's toolbar on a webpage which you'd like summarized and within a few seconds, you'll get the < 5 sentence summary right there.

Please let me know if you have any feedback/suggestions.

Thanks a lot

Yes, you are right but having the information public makes it a target for spammers. People send spam emails about hosting and stuff.

I am from India. I am currently studying in the UK.

Thanks a lot for your feedback.