I\'d like to find good way to find some (let it be two) sentences in some text. What will开发者_高级运维 be better - use regexp or split-method? Your ideas?
I\'m looking to extract names and places from very short bursts of text example \"cardinals vs jays in toronto\"
I am just starting to use the SimpleTagger class in mallet. My impression is that it expects binary features. The model that I want to implement has positive integer-valued features and I wonder how t
I love to eat chicken. Today I went running, swimming and played basketball. My objective is to return FOOD and SPORTS 开发者_开发问答just by analyzing these two sentences.How can you do that?
For example... Chicken is an animal. Burrito is a food. WordNet allows you to do \"is-a\"...the hiearchy feature.
I am using NLTK to extract nouns from a text-string starting with the following command: tagged_text = nltk.pos_tag(nltk.Text(nltk.word_tokenize(some_string)))
I have around 100 megabytes of text, without any markup, divided to approximately 10,000 entries. I would like to automatically generate a \'tag\' list. The problem is that 开发者_JS百科there are word
For my GAE ap开发者_开发知识库p I need to do some natural language processing to extract the subject and object from an input sentence.
I have downloaded AraM开发者_StackOverflow中文版orph 1.2.1 Perl version from SourceForge, but I do not know how to use it. Could someone explain to me how can I get it to work?Aramorph is an Arabic la
Given a prompt, I can use BART or T5 to generate a response. Potentially, I could train another model that accepts the prompt and the generated response and classify that into one of two categories, h
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