Yes, of course!  

> On 09-Feb-2016, at 10:18 pm, Telmo Menezes <[email protected]> wrote:
> 
> Hi Samiya,
> 
> We have to be careful. This uses a technique usually referred to as 
> "sentiment analysis" and sometimes as "opinion mining". There is extensive 
> research on using it for things like election forecasting, and the results 
> are not exactly encouraging...
> 
> The idea is very interesting in itself, but the current methods are quite 
> limited. The common approaches are:
> 
> 1) Using a dictionary where every word is annotated by humans in terms of a 
> score for each base emotion, do a lookup for the entire text and present the 
> final summation;
> 
> 2) Using machine learning to train a model to recognize emotions taking into 
> account n-grams, instead of a single word.
> 
> The first method is very naif, many words have quite different emotional 
> valencies depending on context. It also fails to detect sarcasm and other 
> complexities of human language.
> 
> The second method could in principle work much better, but it requires a 
> large corpus of text annotated by emotional valencies. Such corpora exist for 
> specific applications, but models trained that way tend to not work when you 
> deviate too much from the context of the training data. Religious texts are 
> most likely too far away from any useful training corpora.
> 
> Worse still, we are comparing translations from vastly different cultures and 
> linguistic backgrounds.
> 
> Some people suspect (me included) that producing a reliable sentiment 
> analysis algorithm requires solving the general problem of AI.
> 
> Best,
> Telmo.
> 
>> On Tue, Feb 9, 2016 at 6:01 PM, Samiya Illias <[email protected]> wrote:
>> Bible, Quran and Violence
>> Software uses scripture to show what text analysis can do:  
>> http://m.toledoblade.com/Religion/2016/02/06/The-Bible-the-Qur-an-and-violence-computerized.html
>> 
>> 
>> Samiya 
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