I'm learning about NLP and messing around with nltk but just by importing the module on my program, whenever I run the script I get the following text: *** Intr
Following this old(er) post HERE, I wonder if one can keep (extract) spoken samples only? There is a special XML tag (element): is used to represent a spoken t
I want to extract all german nouns from a german text in lemmatized form with NLTK. I also checked spacy but NLTK is much more preferred because in english it a
sub() missing 1 required positional argument: 'string' def preprocess_text(sentence): #Remove punctuations and numbers sentence = re.sub('[^a-zA-Z]', '
I'm experimenting with NLTK in an Azure Synapse notebook. When I try and run nltk.download('stopwords') I get the following error: ValueError: I/O operation on
I have tried to remove non-English words from a text. Problem many other words are absent from the NLTK words corpus. My code: import pandas as pd lst = ['
I am trying to calculate the Meteor score for the following: print (nltk.translate.meteor_score.meteor_score( ["this is an apple", "that is an apple"], "an
I have a text file which contains lines as shown below: Electronically signed : Wes Scott, M.D.; Jun 26 2010 11:10AM CST The patient was referred by Dr. J
Recently I approached to the NLP and I tried to use NLTK and TextBlob for analyzing texts. I would like to develop an app that analyzes reviews made by traveler
I have a task to calculate inter-annotator agreement in multi-label classification, where for each example more than one label can be assigned. I found that NLT
I am using "nltk" to identify nouns and then "inflect" to find the plural form of the noun. I have added a contingency where the plural form is crosschecked wit
How do you go about parsing an HTML page with free text, lists, tables, headings, etc., into sentences? Take this wikipedia page for example. There is/are: fr
I'm encountering a difficulty when using NLTK corpora (in particular stop words) in AWS Lambda. I'm aware that the corpora need to be downloaded and have done s
Given the following sentence: The old oak tree from India fell down. How can I get the following parse tree representation of the sentence using python NLTK?
I have a list of words, nearly 5000 English words, and for each word I need these inflectional forms: noun: singular and plural verb: infinitive, present simp
I have a difficult time using pip to install almost anything. I'm new to coding, so I thought maybe this is something I've been doing wrong and have opted out t
I have a difficult time using pip to install almost anything. I'm new to coding, so I thought maybe this is something I've been doing wrong and have opted out t
I have a difficult time using pip to install almost anything. I'm new to coding, so I thought maybe this is something I've been doing wrong and have opted out t