stop-words | search-functions | Chat library

Is there any WordPress theme function code that blocks certain wordpress tags from being created? I'd want to exclude some tags from the keyword list, for example, I don't want WordPress to create the following stop-words tags:

I have performed the data cleaning of my dataframe with pyspark, including the removal of the Stop-Words. Removing the Stop-Word produces a list for each line, containing words that are NOT Stop-Words. Now I would like to count all the words left in that column, to make the Word-Cloud or the Word-Frequency.
This is my pyspark dataframe:

Following on from Pandas DataFrame extract between one START word and multiple STOP words, is it possible to extend the solution to multiple start words, too? Example shouldn't be taken very literally:

As the title clearly describes the issue I've been experiencing, no Pipfile.lock is being generated as I get the following error when I execute the recommended command pipenv lock --clear:

I am following this tutorial to make a chatbot with the following code.

I am implementing a simple doc2vec with gensim, not a word2vec

I need to remove stopwords without losing the correct order to a list of list.

Each list is a document and, as I understood for doc2vec, the model will have as input a list of TaggedDocuments

model = Doc2Vec(lst_tag_documents, vector_size=5, window=2, min_count=1, workers=4)

I would like to extract a specific group of words from a list of comments scraped from one website to count them and use the most common of them in my TextBlob dictionary, that will be used in a simple sentiment analysis. To simplify: I would like to get all the adjectives, that might have positive or negative sentiment. komentarze is a huge list of strings, every string is a sentence, which sentiment I would like to check. I want to create a list of words from this list of strings and then check which adjectives, that are not punctuation nor stopwords and are before a verb, are the most frequent. When I run my code, I get an error: IndexError: [E040] Attempt to access token at 18, max length 18. This error stands for Attempt to access token at {i}, max length {max_length}. I tried different codes, but none of them works.

Here is an example of a code that wants to proceed, but gives an E040 Error:

I am new in NLP and it is a bit confusing me. I am trying to do a text classification with SVC on my dataset. I have an imbalanced dataset of 6 classes. The text is news for classes of health, sport, culture, economy, science and web. I am using TF-IDF for vectorization.

the preprocessing steps: lower-case all the texts and to remove the stop-words. since my text is in German I did not use lemmatization

my first try:

I'm trying to extract top words by date as follows: