猪:Twitter情绪分析

Question

我正在尝试实现对twitter情绪的分析，我需要获取所有的正面和负面信息，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有所有的正负词列表

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}

但是当我转储res时，我没有看到任何输出，但是它执行得很好，没有任何错误。

我在这里做的是什么错误。

请给我建议。

Mohan.V

Answer 1

我在这里看到两个错误

• 1:第2行-当您转储字典时，您将看到第1列中的所有记录，其余的列显示为空。

解决方案:使用PigStorage()指定适当的分隔符；

 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,,,,,)

第二个错误:第6行:更正正数的拼写！使用类似的东西

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

Answer 2

我看到拼写错误：

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

不是'.*positive.*'吗？

Answer 3

根据我的建议，您应该使用自定义的UDF来解决问题。现在你可以用大象-鸟-猪-4.1.jar，json-简单-1.1.1jar。另外，如果您想要查看这些示例，那么可以使用这些情感分析教程。如果你想要代码，那么你可以引用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;