Path: csiph.com!v102.xanadu-bbs.net!xanadu-bbs.net!feeder.erje.net!eu.feeder.erje.net!eternal-september.org!feeder.eternal-september.org!news.eternal-september.org!.POSTED!not-for-mail From: Jeff Higgins Newsgroups: comp.lang.java.programmer Subject: Re: Artificial Intelligence with Java Date: Sat, 14 Jun 2014 21:06:15 -0400 Organization: A noiseless patient Spider Lines: 22 Message-ID: References: <21b372c0-200e-4587-9fa1-953c8a3d080d@googlegroups.com> Mime-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit Injection-Date: Sun, 15 Jun 2014 01:11:03 +0000 (UTC) Injection-Info: mx05.eternal-september.org; posting-host="6a6a291fa7e9c0bd872c1a9cbe2b371d"; logging-data="31158"; mail-complaints-to="abuse@eternal-september.org"; posting-account="U2FsdGVkX18/WSe0BEpKFApBqEzelsD8b3GU69dAAzg=" User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:24.0) Gecko/20100101 Icedove/24.5.0 In-Reply-To: Cancel-Lock: sha1:1g8w12S/Ccftd3Yls+TYXvmaFi4= Xref: csiph.com comp.lang.java.programmer:28740 On 06/14/2014 04:15 PM, Jeff Higgins wrote: > On 06/14/2014 04:26 AM, Giovanni R. wrote: >> >> I'd like to create an application using Java where users give a phrase >> in input and the application says if it's a /negative/ or /positive/ >> phrase. >> >> Where should I start? >> Has AI already solved this kind of problems? >> >> Thanks. >> > A priori polarity shouldn't be too hard. > Contextual polarity maybe harder. > Google Sentiment+Analysis. > An extended example: > > Memento for me. "Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis "