Remove stop words from a cell array
显示 更早的评论
I am trying to remove german stop-words from a cell array. Below is the respective code:
if removeStopWords == 1
stop_words = cellstr(stopWords('Language','de'));
split1 = regexp(chatM, '\s','Split');
split1 = cellfun(@(x)strjoin(x), split1, 'Uni', 0);
split1 = cellfun(@(x)convertStringsToChars(x), split1, 'Uni', 0);
chatM = strjoin(split1(~ismember(split1, stop_words)), ' ');
end
I applied a solution from a simillar question on the forum, but it did not work for me properly and I do not understand why.
The problem is, that it removes patterns and not words: imagine you want to remove "Ok" from "Ok Okay OOk". The result will be "ay O", but I want to get "Okay OOk".
By the way, I also tried removeStopWords(str), but the result was the same. In the end I want to count the occurrence of "relevant" words, so I need to remove stop words at first.
采纳的回答
Cris LaPierre
2020-7-24
0 个投票
Do you have the text analytics toolbox? You must because you are using stopWords. Try using the removeStopWords function.
6 个评论
Sergiu Panainte
2020-7-24
Cris LaPierre
2020-7-24
编辑：Cris LaPierre
2020-7-24
Can you share an example of chatM?
Sergiu Panainte
2020-7-24
Cris LaPierre
2020-7-24
编辑：Cris LaPierre
2020-7-24
Ok, so if I were going to do it, I might do something like this:
doc = tokenizedDocument(lower(chatM));
doc = removeStopWords(doc)
chatM = joinWords(myClean)
The corresponding output is
chatM = 4×1 string
"hi gut schlecht"
"leider schlecht"
"sicher"
"wollen machen gleich viel bekommt"
If you want to count frequency of words, it's better to keep it as separate words (doc). There's not a lot of words yet, but you can obtain a count of the most frequent words this way.
bag = bagOfWords(doc);
topkwords(bag)
ans =
Word Count
__________ _____
"schlecht" 2
"hi" 1
"gut" 1
"leid" 1
"sich" 1
Sergiu Panainte
2020-7-25
Cris LaPierre
2020-7-25
I'm not familiar with the requirements of parallel computing. Generally, if the process can be split into pieces without affecting the results (results of each piece are independent of the results of the other pieces), then it technically should be able to be parallelized. If you look at the product requirements for text analytics, you can see that the Parallel Computing Toolbox is recommended, suggesting that it is supported.
Do you have access to the Parallel Computing toolbox? Simplest would be to test. Note that there is an initial load time as the parallel workers start up (~30 seconds?). Test with and without parallelization. You may find it quicker to process the text without it..
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Language Support 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
