wordnet

I'm working with the Python NLTK Wordnet API. I'm trying to find the best synset that represents a group of words. If I need to find the best synset for something like "school & office supplies", I'm not sure how to go about this. So far I've tried finding the synsets for the individual words and then computing the best lowest common hypernym like this: def find_best_synset(category_name): text = word_tokenize(category_name) tags = pos_tag(text) node_synsets = [] for word, tag in tags: pos = get_wordnet_pos(tag) if not pos: continue node_synsets.append(wordnet.synsets(word, pos=pos)) max_score

I'm trying to create a general synonym identifier for the words in a sentence which are significant (i.e. not "a" or "the"), and I am using the natural language toolkit(nltk) in python for it. The problem I am having is that the synonym finder in nltk requires a part of speech argument in order to be linked to its synonyms. My attempted fix for this was to use the simplified part of speech tagger present in nltk, and then reduce the first letter in order to pass this argument into the synonym finder, however this is not working. def synonyms(Sentence): Keywords = [] Equivalence =

I'm trying to get WordNet to work on my Notebook but it fails in the make step of the process as follows: WaldundWiesenComputer:WordNet-3.0 Gnaddel$ make make all-recursive Making all in doc Making all in html make[3]: Nothing to be done for `all'. Making all in man make[3]: Nothing to be done for `all'. Making all in pdf make[3]: Nothing to be done for `all'. Making all in ps make[3]: Nothing to be done for `all'. make[3]: Nothing to be done for `all-am'. Making all in dict make[2]: Nothing to be done for `all'. Making all in include Making all in tk make[3]: Nothing to be done for `all'.

I am using Princeton's WordNet for an application, but there is no support for pronouns, conjunctions, and several other types of words within the database. Does anybody know if there is a way to supplement the Wordnet database with these types of words? Thanks, Ted First, they're missing since WordNet only contains the open-class words as described in their page: Q. Why is WordNet missing: of, an, the, and, about, above, because, etc. A. WordNet only contains "open-class words": nouns, verbs, adjectives, and adverbs. Thus, excluded words include determiners, prepositions, pronouns,

I am trying to use multi threading to speed up the process. I am using the wordnetlemmatizer to lemmatize the words and those words can be further used by sentiwordnet to calculate the sentiment of the text. My Sentiment analysis function where I am using the WordNetLemmatizer is as follows: import nltk from nltk.corpus import sentiwordnet as swn def SentimentA(doc, file_path): sentences = nltk.sent_tokenize(doc) # print(sentences) stokens = [nltk.word_tokenize(sent) for sent in sentences] taggedlist = [] for stoken in stokens: taggedlist.append(nltk.pos_tag(stoken)) wnl = nltk

How do I correctly use the stemmer method implemented in MIT's JWI (Java API for WordNet) in order to get the stem of a word? I'm not sure how to initialize a stemmer and use the findStems method. You don't need an additional library, but you do need a dictionary. You can download one from Princeton: https://wordnet.princeton.edu/wordnet/download/current-version/ I recommend downloading only the dictionary from the section "WordNet 3.1 DATABASE FILES ONLY" Extract the archive. Supposing that PATH/dict is the location of the output you can use this code: Dictionary dict = new Dictionary(new

I am trying to find synonyms of some words(String type) in java using Wordnet java api. I have difficulties though in figuring out how it works. I found this link http://lyle.smu.edu/~tspell/jaws/doc/edu/smu/tspell/wordnet/impl/file/ReferenceSynset.html#getTagCount%28java.lang.String%29 which I though it is useful, but still I don't know how to start. Do I have to create a ReferenceSynset object and then find its synonyms, and how can this be done? Or is there another easier way? Please help! Thanks in advance! JAWS - "Java API for WordNet Searching" has been created exactly for this purpose.