Believe it or not,we can never be isolated from the society which makes it easier to infer that we can always seek out your opintion from the people around you.
2014年10月1日星期三
content analytics
We try to looked into the the social analysis from a new aspect now,it is quite familiar with us,it is the algorithm.There is no doubt that we will look into the so called bag-of-words model instead of the order of them.A lot of Measures were shown in class like Jaccard's index to caculate to similarty.What remains most interesting is the term weighing,because several approaches have turned out a bad solution to this problem.
Classification can be widely used in daily life,but it is still not prevaling due to the lack of accuracy.Can the Naive Bayes text classification be applied properly to the characters like Chinese words?The answer might be not quite satisfying.
Believe it or not,we can never be isolated from the society which makes it easier to infer that we can always seek out your opintion from the people around you.
In fact,sentiment analysis is never an easy task.It is more than complicated to analyse one's sentiment from his own words. Think of the rhetoric and especially the irony we have used daily,it is not hard to understand.Moreover,we try to weigh the strength of two words,that's a arduous task.
Believe it or not,we can never be isolated from the society which makes it easier to infer that we can always seek out your opintion from the people around you.
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I agree with you that sentiment analysis will be more and more important in the future, especially for the company since they may face to thousands of comments every day which make it is impossible for them to read comments one by one manually.
回复删除I totally agree with you that sentiment analysis has become more important, due to people's social behavior become more frequently, more research and study will focus on this topic. Thanks for your sharing.
回复删除Hi cicy! I totally agree with you because I came across the same problem in my project. That is how to assign weights on different types of words to reach a more accurate result. I have got results but they need optimization, because the meaning of a sentence is hard to judge accurately, especially Chinese words. Your picture is amazing.
回复删除Hi, I have read this blog and I find it's a very interesting analyses. Classification have a lot of method. By using supervised learning algorithm, such as Naive Bayes Classifier and SVM ... It's might not be very efficiency but the accuracy might be more higher than using some clustering model to analyze some topic and classify them. Thank you~
回复删除Nice blog! Recently I am attracted by content ayalysis and linguistics. I think it's an exciting field that has bright future due to the rapid development of computing resource. Thanks for your sharing.
回复删除Hi Cicy,
回复删除I agree with you that the sentimental analysis is not easy especially for CHINESE. And also before we use the tools to measure the polarity of the words, what we need to do is to separate the sentence in proper way.