PIG：Twitter情绪分析

Question

我正在尝试实施Twitter情绪分析。我需要获取所有积极的推文和消极推文，并将它们存储在特定的文本文件中。

sample.json

{"id": 252479809098223616, "created_at": "Wed Apr 12 08:23:20 +0000 2016", "text": "google is a good company", "user_id": 450990391}{"id": 252479809098223616, "created_at": "Wed Apr 12 08:23:20 +0000 2016", "text": "facebook is a bad company","user_id": 450990391} 

dictionary.text让所有的正面和negetive单词列表

weaksubj 1 bad  adj  n negative 
strongsubj 1 good adj  n positive 

猪脚本： -

tweets = load 'new.json' using JsonLoader('id:chararray,text:chararray,user_id:chararray,created_at:chararray'); 

dictionary = load 'dictionary.text' AS (type:chararray,length:chararray,word:chararray,pos:chararray,stemmed:chararray,polarity:chararray); 

words = foreach tweets generate FLATTEN(TOKENIZE(text)) AS word,id,text,user_id,created_at; 

sentiment = join words by word left outer, dictionary by word; 

senti2 = foreach sentiment generate words::id as id,words::created_at as created_at,words::text as text,words::user_id as user_id,dictionary::polarity as polarity; 

res = FILTER senti2 BY polarity MATCHES '.*possitive.*'; 

描述RES： -

res: {id: chararray,created_at: chararray,text: chararray,user_id: chararray,polarity: chararray} 

但是，当我倾倒RES我没有看到任何输出，但它没有任何错误执行罚款。

我在这里做了什么错误。

请给我建议。

Mohan.V

Answer 1

我看到2个错误，这里

• 1：2号线 - 当你倾倒字典，你会看到所有的记录 在第1列与列的其余部分显示为空。

解决方案：指定使用PigStorage适当分隔符（）;

dictionary = load 'dictionary.text' AS  (type:chararray,length:chararray,word:chararray,pos:chararray,stemmed:chararray,polarity:chararray); 

DUMP dictionary; 
(weaksubj 1 bad  adj  n negative,,,,,) 
(strongsubj 1 good adj  n positive,,,,,) 

二错误： 线6：更正的积极拼写！使用类似

res = FILTER senti2 BY UPPER(polarity) MATCHES '.*POSITIVE.*'; 

Answer 2

我看到拼写错误的：

res = FILTER senti2 BY polarity MATCHES '.*possitive.*'; 

是不是很'.*positive.*'？

Answer 3

根据我的建议，您应该使用自定义UDF来解决您的问题。现在你可以使用elephant-bird-pig-4.1.jar，json-simple-1.1.1.jar。 另外，如果你想看看这些例子，那么你可以使用这些Sentiment Analysis Tutorial。 如果你想代码，那么你可以参考这些代码，并按照教程和我的代码格式化你的代码，

REGISTER ‘/usr/local/elephant-bird-hadoop-compat-4.1.jar'; 
REGISTER '/ usr/local /elephant-bird-pig-4.1.jar'; 
REGISTER '/ usr/local /json-simple-1.1.1.jar’; 
load_tweets = LOAD '/user/new.json' USING com.twitter.elephantbird.pig.load.JsonLoader('-nestedLoad') AS myMap; 
extract_details = FOREACH load_tweets GENERATE myMap#'id' as id,myMap#'text' as text; 
tokens = foreach extract_details generate id,text, FLATTEN(TOKENIZE(text)) As word; 
dictionary = load '/user/dictionary.text' AS (type:chararray,length:chararray,word:chararray,pos:chararray,stemmed:chararray,polarity:chararray); 
word_rating = join tokens by word left outer, dictionary by word using 'replicated’; describe word_rating; 
rating = foreach word_rating generate tokens::id as id,tokens::text as text, dictionary::rating as rate; 
word_group = group rating by (id,text); 
avg_rate = foreach word_group generate group, AVG(rating.rate) as tweet_rating; 
positive_tweets = filter avg_rate by tweet_rating>=0;