Thank you for your help! Answer NLTK is the main library for NLP and it includes many corpora. See the code here: How to generate a list of antonyms for adjectives in WordNet using Python NLTK documentation on using WordNet: https://www.nltk.org/howto/wordnet.html
Tag: nlp
Word2Vec + LSTM Good Training and Validation but Poor on Test
currently I’am training my Word2Vec + LSTM for Twitter sentiment analysis. I use the pre-trained GoogleNewsVectorNegative300 word embedding. The reason I used the pre-trained GoogleNewsVectorNegative300 because the performance much worse when I trained my own Word2Vec using own dataset. The problem is why my training process had validation acc and loss stuck at 0.88 and 0.34 respectively. Then, my confussion
How can I say that if I want to return an operation on a list, but it stays the same when it comes out null?
I have a list-of-list of word groups in Turkish. I want to apply stemming and I found turkishnlp package. Although it has some shortcomings, it often returns the right word. However, when I apply this to the list, I don’t want the structure of my list to change and I want the words that he doesn’t know to stay the
A* search algorithm implementation in python
I am trying to build a very simple A* Search Algorithm in Python 3. Given the following distances for each node (considering S is the starting node and G the end one) I want to write a function that finds the best path based on total cost (i.e., f(n) for those familiar with the terminology) for the following search space:
Create dictionary of context words without stopwords
I am trying to create a dictionary of words in a text and their context. The context should be the list of words that occur within a 5 word window (two words on either side) of the term’s position in the string. Effectively, I want to ignore the stopwords in my output vectors. My code is below. I can get
Train/Validation/Testing sets for imbalanced dataset
I am working in an NLP task for a classification problem. My dataset is imbalanced and some authors have 1 only text, thus I want to have this text only in the training test. As for the other authors I have to have a spliting of 70%, 15% and 15% respectivelly. I tried to use train_test_split function from sklearn, but
spacy Entity Ruler pattern isn’t working for ent_type
I am trying to get the entity ruler patterns to use a combination of lemma & ent_type to generate a tag for the phrase “landed (or land) in Baltimore(location)”. It seems to be working with the Matcher, but not the entity ruler I created. I set the override ents to True, so not really sure why this isn’t working. It
BERT get sentence embedding
I am replicating code from this page. I have downloaded the BERT model to my local system and getting sentence embedding. I have around 500,000 sentences for which I need sentence embedding and it is taking a lot of time. Is there a way to expedite the process? Would sending batches of sentences rather than one sentence at a time
Where to find a Seq2SeqTrainer to import into project?
Like the title says, I require a Seq2SeqTrainer for my project, but the file/s on Github are not available and return a 404. I use this code to try and import it: !wget https://raw.githubusercontent….
How do I read the following lines of code?
Apologies for the basic question as I am quite new to the topic. conlltags = [(word, pos, chunktag) for ((word,pos),chunktag) in zip(sentence, chunktags))] Can you please break …