lemmatization

How do I do word Stemming or Lemmatization?

由 元气小坏坏 提交于 2019-12-17 02:52:09
问题 I've tried PorterStemmer and Snowball but both don't work on all words, missing some very common ones. My test words are: " cats running ran cactus cactuses cacti community communities ", and both get less than half right. See also: Stemming algorithm that produces real words Stemming - code examples or open source projects? 回答1: If you know Python, The Natural Language Toolkit (NLTK) has a very powerful lemmatizer that makes use of WordNet. Note that if you are using this lemmatizer for the

Stemmers vs Lemmatizers

由 大城市里の小女人 提交于 2019-12-17 01:39:12
问题 Natural Language Processing (NLP), especially for English, has evolved into the stage where stemming would become an archaic technology if "perfect" lemmatizers exist. It's because stemmers change the surface form of a word/token into some meaningless stems. Then again the definition of the "perfect" lemmatizer is questionable because different NLP task would have required different level of lemmatization. E.g. Convert words between verb/noun/adjective forms. Stemmers [in]: having [out]: hav

NLTK Lemmatizer, Extract meaningful words

由 帅比萌擦擦* 提交于 2019-12-14 04:04:05
问题 Currently, I am going to create a machine learning based code that automatically maps categories. I am going to do natural language processing before that. There are several words list. sent ='The laughs you two heard were triggered by memories of his own high j-flying moist moisture moisturize moisturizing '.lower().split() I made the following code. I referenced this url. NLTK: lemmatizer and pos_tag from nltk.tag import pos_tag from nltk.tokenize import word_tokenize from nltk.stem import

Import Stanford nlp Intellij

由 久未见 提交于 2019-12-12 16:13:44
问题 I'm having trouble using Stanford Lemmatizer. As i'm using Intellij IDE, i try to import it via the Dependencies Windows, but i can't access all the class by that way. Is there a way to import stanford-english-corenlp-models-current.jar & stanford-corenlp-models-current.jar correctly on Intellij? 回答1: As guys mentioned above,you just import the wrong file First,download the CoreNLP 3.7.0(beta) In the screen shot above,click the red button to download the file,which covers all the things to

Can WordNetLemmatizer in Nltk stem words?

由 為{幸葍}努か 提交于 2019-12-12 11:26:42
问题 I want to find word stems with Wordnet . Does wordnet have a function for stemming? I use this import for my stemming, but it doesn't work as expected. from nltk.stem.wordnet import WordNetLemmatizer WordNetLemmatizer().lemmatize('Having','v') 回答1: Try using one of the stemmers in nltk.stem module, such as the PorterStemmer. Here's an online demo of NLTK's stemmers: http://text-processing.com/demo/stem/ 回答2: Seems like you have to input a lowercase string to the lemmatize method: >>>

Manual tagging of Words using Stanford CorNLP

由 妖精的绣舞 提交于 2019-12-12 10:23:31
问题 I have a resource where i know exactly the types of words. i have to lemmatize them but for correct results, i have to manually tag them. i could not find any code for manual tagging of words. i m using following code but it returns wrong result. i.e "painting" for "painting" where i expect "paint". *//...........lemmatization starts........................ Properties props = new Properties(); props.put("annotators", "tokenize, ssplit, pos, lemma"); StanfordCoreNLP pipeline = new

How to pass part-of-speech in WordNetLemmatizer?

由 自闭症网瘾萝莉.ら 提交于 2019-12-11 16:26:52
问题 I am preprocessing text data. However, I am facing issue with lemmatizing. Below is the sample text: 'An 18-year-old boy was referred to prosecutors Thursday for allegedly stealing about ¥15 million ($134,300) worth of cryptocurrency last year by hacking a digital currency storage website, police said.', 'The case is the first in Japan in which criminal charges have been pursued against a hacker over cryptocurrency losses, the police said.', '\n', 'The boy, from the city of Utsunomiya,

NLTK-based stemming and lemmatization

由 折月煮酒 提交于 2019-12-08 19:26:27
I am trying to preprocess a string using lemmatizer and then remove the punctuation and digits. I am using the code below to do this. I am not getting any error but the text is not preprocessed appropriately. Only the stop words are removed but the lemmatizing does not work and punctuation and digits also remain. from nltk.stem import WordNetLemmatizer import string import nltk tweets = "This is a beautiful day16~. I am; working on an exercise45.^^^45 text34." lemmatizer = WordNetLemmatizer() tweets = lemmatizer.lemmatize(tweets) data=[] stop_words = set(nltk.corpus.stopwords.words('english'))

R error in lemmatizzation a corpus of document with wordnet

由 烈酒焚心 提交于 2019-12-08 12:52:48
问题 i'm trying to lemmatizzate a corpus of document in R with wordnet library. This is the code: corpus.documents <- Corpus(VectorSource(vector.documents)) corpus.documents <- tm_map(corpus.documents removePunctuation) library(wordnet) lapply(corpus.documents,function(x){ x.filter <- getTermFilter("ContainsFilter", x, TRUE) terms <- getIndexTerms("NOUN", 1, x.filter) sapply(terms, getLemma) }) but when running this. I have this error: Errore in .jnew(paste("com.nexagis.jawbone.filter", type, sep

NLTK-based stemming and lemmatization

由 心不动则不痛 提交于 2019-12-08 06:42:59
问题 I am trying to preprocess a string using lemmatizer and then remove the punctuation and digits. I am using the code below to do this. I am not getting any error but the text is not preprocessed appropriately. Only the stop words are removed but the lemmatizing does not work and punctuation and digits also remain. from nltk.stem import WordNetLemmatizer import string import nltk tweets = "This is a beautiful day16~. I am; working on an exercise45.^^^45 text34." lemmatizer = WordNetLemmatizer()
订阅 lemmatization