perform classifier training on twitter data

I have just started learning about NLP and I have to do a course project this semester. what I want to do is :

a.) Fetch the tweets from twitter for a particular topic ( How can I do that?? )

b.) Have already trained data against which I can decide if the tweets I fetched has positive or negative sentiment ( how to train this data )

c.) show the results to user

I want to use开发者_运维百科 Java for this, and I found that we can use LingPipe for this

I am all new to this and building the app for the first time, so guidance is very much appreciated

Twitter APIs for Java

A survey text on opinion mining and sentiment analysis, which is what you're looking to do. I've actually read portions of this text, and thought it was decent. It isn't a "here's an algorithm to analyze twitter" book (perhaps Programming Collective Intelligence?), but it'll have references to bajillions of research papers in the area, from which you should be able to find algorithms and analysis.

Also, the question "Sentiment Analysis for Twitter in Python" is going to be helpful to you, as well.

Your questions are vague, so, sorry, you get somewhat vague answers.

The Collective Intelligence book mentioned by Jay is worth a look.

If you follow his Python hint, then you really need to look at the NLTK toolkit, which is intended for teaching.