Hi there,
I found that elasticsearch can't split english words if they don't have 
whitespace or dash between them, for example, "reversestring" should be 
split into "reverse" and "string". I think the it's because I didn't 
configure well. I have tried several analyzers listed on the elasticsearch 
plugins page, but it didn't work. My current settings is:

{
"settings": {
    "analysis": {
        "filter": {
                "my_stopwords": {
                    "type": "stop",
                    "stopwords": [ "a", "about", "above", "after", "again", 
"against", "all", "am", "an", "and", "any", "are", "aren't", "as", "at", 
"be", "because", "been", "before", "being", "below", "between", "both", 
"but", "by", "can't", "cannot", "could", "couldn't", "did", "didn't", "do", 
"does", "doesn't", "doing", "don't", "down", "during", "each", "few", 
"for", "from", "further", "had", "hadn't", "has", "hasn't", "have", 
"haven't", "having", "he", "he'd", "he'll", "he's", "her", "here", 
"here's", "hers", "herself", "him", "himself", "his", "how", "how's", "i", 
"i'd", "i'll", "i'm", "i've", "if", "in", "into", "is", "isn't", "it", 
"it's", "its", "itself", "let's", "me", "more", "most", "mustn't", "my", 
"myself", "no", "nor", "not", "of", "off", "on", "once", "only", "or", 
"other", "ought", "our", "ours ", " ourselves", "out", "over", "own", 
"same", "shan't", "she", "she'd", "she'll", "she's", "should", "shouldn't", 
"so", "some", "such", "than", "that", "that's", "the", "their", "theirs", 
"them", "themselves", "then", "there", "there's", "these", "they", 
"they'd", "they'll", "they're", "they've", "this", "those", "through", 
"to", "too", "under", "until", "up", "very", "was", "wasn't", "we", "we'd", 
"we'll", "we're", "we've", "were", "weren't", "what", "what's", "when", 
"when's", "where", "where's", "which", "while", "who", "who's", "whom", 
"why", "why's", "with", "won't", "would", "wouldn't", "you", "you'd", 
"you'll", "you're", "you've", "your", "yours", "yourself", "yourselves", 
"c#"]
                }
            },
            "analyzer": {
                "custom_analyzer": {
                    "type": "custom",
                    "tokenizer": "classic",
                    "filter": ["lowercase", "my_stopwords"]
                }
            }
    }
}
}


Thank you so much!

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