analyzer

I have a Java project that I've been working on for a while. The design started out pretty good but slowly degraded as changes were made. I'm looking for some sort of tool that will analyze the project. It'd be really nice to have a map of the dependencies of different classes/methods. I feel like certain methods are only in there to fulfill a very specific goal. I'd like to eliminate unnecessary code and make my design better. Any suggestions would be great! Thanks! You may want to check out JDepend . It was specifically developed to solve the problem you are facing. Working as a consultant

I want to build my own analyzer that uses both filters/tokenizers. I mean, the same field is Keyword (entire stream as a single token) and lowercase If KeywordAnalyzer use only, the value of field keeps the case-insensitive. If I use LowerCaseTokenizer or LowerCaseFilter I have to combine them with other analyzers that do the same thing KeywordAnalyzer (separated by no letter, by spaces, remove stop-words, etc.) The question is : Is there any way to make that field as Keyword (entire stream as a single token) and that lowercase using filters or analyzers Lucene or tokenizers? (google

Is there a good Query Analyzer for MySQL (that's either free, or has a trial), that can analyse a query and make suggestions for indexes, like the "Display estimated execution plan" in Microsoft SQL Server management studio? You may want to try Percona tools for MySQL. Look at this article Maybe " MySQL Explain Explain " can help (verbose version of MySQL EXPLAIN command, forkable on github ). https://enterprise.mysql.com 30 day trial... 来源： https://stackoverflow.com/questions/2056840/mysql-query-analyzer-free-solutions

How do I use sklearn CountVectorizer with both 'word' and 'char' analyzer? http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html I could extract the text features by word or char separately but how do i create a charword_vectorizer ? Is there a way to combine the vectorizers? or use more than one analyzer? >>> from sklearn.feature_extraction.text import CountVectorizer >>> word_vectorizer = CountVectorizer(analyzer='word', ngram_range=(1, 2), min_df=1) >>> char_vectorizer = CountVectorizer(analyzer='char', ngram_range=(1, 2), min_df=1) >>> x = [

I could not find a perfect solution either in Google or ES for the following situation, hope someone could help here. Suppose there are five email addresses stored under field "email": 1. {"email": "john.doe@gmail.com"} 2. {"email": "john.doe@gmail.com, john.doe@outlook.com"} 3. {"email": "hello-john.doe@outlook.com"} 4. {"email": "john.doe@outlook.com} 5. {"email": "john@yahoo.com"} I want to fulfill the following searching scenarios: [Search -> Receive] "john.doe@gmail.com" -> 1,2 "john.doe@outlook.com" -> 2,4 "john@yahoo.com" -> 5 "john.doe" -> 1,2,3,4 "john" -> 1,2,3,4,5 "gmail.com" -> 1,2

I was looking at http://euphonious-intuition.com/2012/08/more-complicated-mapping-in-elasticsearch/ which explains ElasticSearch analyzers. I did not understand the part about having different search and index analyzers. The second example of custom mapping goes like this: ->the index analyzer is an edgeNgram ->the search analyzer is: "full_name":{ "filter":[ "standard", "lowercase", "asciifolding" ], "type":"custom", "tokenizer":"standard" } if we wanted the query "Race" to not return results like * ra *pport and * rac *ial due to edgeNgram, why index it with edgeNgram in the first place?

I'm having trouble understanding the concept of analyzers in elasticsearch with tire gem. I'm actually a newbie to these search concepts. Can someone here help me with some reference article or explain what actually the analyzers do and why they are used? I see different analyzers being mentioned at elasticsearch like keyword, standard, simple, snowball. Without the knowledge of analyzers I couldn't make out what actually fits my need. Let me give you a short answer. An analyzer is used at index Time and at search Time. It's used to create an index of terms. To index a phrase, it could be

I am looking for some kind of analyzer tool for log files generated by log4j files. I am looking something more advanced than grep ? What are you using for log file analysis? I am looking for following kinds of features: The tool should tell me how many time a given log statement or a stack trace has occurred, preferably with support for some kinds of patterns (eg. number of log statements matching 'User [a-z]* logged in'). Breakdowns by log level (how many INFO, DEBUG lines) and by class that initiated the log message would be nice. Breakdown by date (how many log statements in given time