What is “ctrl-news” ? FAQs #search #media #analytics #semantic #textmining #datamining #news

ctrl

Image via Wikipedia

Ramy Ghaly February 16, 2011

Ctrl-News is powered by the “ctrl semantic engine“, ctrl-news is an online service that can be viewed as a “customized news homepage” for its users.

The ctrl-News homepage allows users to filter news semantically and topically, depending on their preferred and customized subject(s) of interest. Moreover, users can see an automatically-generated summary, as well as the entities and the key topics (disambiguated) for every news article received.

Who is behind ctrl-News?

ctrl-News is not only powered by the ctrl semantic engine, it was actually created by the same team who created ctrl to show ONE possible application that can be built on top of their semantic engine ctrl – the first product of the Research and Development group at PRAGMATECH.

 

How to register to this service?

Click on the “FREE Sign Up” button and fill in the required fields in the personal settings. You also need to provide ctrl-news with at least one subject of interest that you like to follow.

 

The following error appeared “Subject of interest X has 44 words. It should have a minimum of 80 words” why is that?

ctrl-News relies on heavy semantic analysis of the text that comprises your subjects of interest in order to find the most related articles from everyday’s news. Knowing that, it is recommended to enter at least 80 words in each subject of interest to ensure best results.

 

How to retrieve my password?

Click on the “forgot my password” link on top , and provide us with either your username or email. We will reset your password and send you a new one to your registered email.

 

Concerning retrieved articles, what retrieval accuracy should I expect from ctrl-news?

ctrl-News results are all automatically generated by the ctrl semantic engine, and, therefore, rely totally on the topical similarity between the entered subject of interest and the processed news articles. Therefore, in some cases, the returned articles do not match the user’s expectations – although we are certain that our accuracy in determining topic relevancy is extremely high. Please use the feedback functionality to report such cases helping us accordingly to improve the existing system.

 

How does ctrl-News decide on the similarity between articles and my subject of interest?

ctrl-News uses the ctrl semantic engine to process each subject of interest you enter. It then tries to find the most related articles from the processed news articles based on their topical similarity (in addiction to other subtle document attributes). By topical similarity we mean that the main topics of the subject of interest are similar to the ones of these articles. Accordingly, you might receive articles that are discussing the same topic with different ‘players’ (location, people, etc). Please use the feedback functionality to report the cases where you didn’t find the results relevant.

 

How far back does ctrl-news retain my retrieved results?

Currently 2 weeks. However, we may prolong this period in the future if enough users deemed this necessary.

 

What is meant by entities?

The Entities section displays all the ‘names’ of things that ctrl automatically identified in the text along with their specific type and definition. These include names of Agencies, Associations, Awards, Brands, Companies, Consumer products, Diseases, Educational institutes, Events, Medicines, Organizations, Outlets, People, Political events, Political group, Publication, Software systems, Teams, Tournaments, Websites, gadgets.

 

What languages does ctrl-News support?

Currently, ctrl-news only supports the English language. However, with relatively minimal effort, its semantic engine can virtually support any language.

 

Can I advertise on ctrl-News?

Pragmatech’s ctrl team is currently working on another application that can showcase their ctrl engine’s superiority in semantic analysis through semantic push of ads on ctrl-News. This functionality will be free of charge and very easy to use. Stay posted!!!

 

Which media sources do you fetch your news from?

On the bottom part of homepage (when not logged in) a list of news sources appears in a flash animation. Also, you may find the list in the archive section. However, this list contains more detailed information of the RSS feeds ctrl-news fetches from each of these news sources.

 

ctrl-news have a predetermined list of news sources. Can I add or suggest a new one?

We welcome all suggestions and we will try to process all requests. Clearly, multiple requests for the same news source will receive more consideration than others.

 

How many friends can I invite to join ctrl-News?

Invite as many friends as you like, or share it on your favorite social-network by using the existing share panel found on all pages.

 

How to stop receiving the daily emails while retaining my registration with ctrl-news?

Login and go to your “My Profile” page (link on top). Click on the “Personal Settings” panel, and tick the “Deactivate Your Daily Email Report” checkbox.

 


Since ctrl-News is powered by the ctrl semantic engine, its results are more accurate than any of the other existing keyword-based attempts. We hope you find ctrl-News beneficial. Don’t forget to provide feedback and why not even invite few of your friends!

Via ctrl-News

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What are the most challenging issues in Sentiment Analysis(opinion mining)?

A Twitter tweet

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Ramy Ghaly January 28, 2011

Hossein Said:

Opinion Mining/Sentiment Analysis is a somewhat recent subtask of Natural Language processing.Some compare it to text classification,some take a more deep stance towards it. What do you think about the most challenging issues in Sentiment Analysis(opinion mining)? Can you name a few?

Hightechrider Said:

The key challenges for sentiment analysis are:-

1) Named Entity Recognition – What is the person actually talking about, e.g. is 300 Spartans a group of Greeks or a movie?

2) Anaphora Resolution – the problem of resolving what a pronoun, or a noun phrase refers to. “We watched the movie and went to dinner; it was awful.” What does “It” refer to?

3) Parsing – What is the subject and object of the sentence, which one does the verb and/or adjective actually refer to?

4) Sarcasm – If you don’t know the author you have no idea whether ‘bad’ means bad or good.

5) Twitter – abbreviations, lack of capitals, poor spelling, poor punctuation, poor grammar, …

 

ealdent Said:

I agree with Hightechrider that those are areas where Sentiment Analysis accuracy can see improvement. I would also add that sentiment analysis tends to be done on closed-domain text for the most part. Attempts to do it on open domain text usually winds up having very bad accuracy/F1 measure/what have you or else it is pseudo-open-domain because it only looks at certain grammatical constructions. So I would say topic-sensitive sentiment analysis that can identify context and make decisions based on that is an exciting area for research (and industry products).

I’d also expand his 5th point from Twitter to other social media sites (e.g. Facebook, Youtube), where short, ungrammatical utterances are commonplace.

 

Skarab Said:

I think the answer is the language complexity, mistakes in grammar, and spelling. There is vast of ways people expresses there opinions, e.g., sarcasms could be wrongly interpreted as extremely positive sentiment.

 

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