I've implemented the weather-js npm module (weather-js) to retrieve weather information for a specific region. While everything is functioning correctly, I'm looking to customize it based on user input. The module currently only accepts region names in t ...
While utilizing Google Colab to upload my fine-tuned model to the Hub, I encountered an issue. Upon running the model.fit() function, a new output directory was created in my Colab drive and the training process began for 2 epochs using my datasets (glue- ...
Looking to identify the subject in a sentence, I attempted to utilize some code resources from this link: import spacy nlp = nlp = spacy.load("en_core_web_sm") sent = "the python can be used to find objects." #sent = "The bears in ...
I have a dataset that has a single column named 'utterances'. The data in this column consists of strings with varying numbers of words. utterances 0 okay go ahead. 1 ...
I'm hoping I won't need an example set. In my 2D array, each sub-array contains words from sentences. To build a vocabulary of words, I am utilizing the CountVectorizer and applying fit_transform to the entire 2D array effectively. However, I have sente ...
I recently ran this code snippet: import itertools f = list(itertools.combinations(['Javad', 'love', 'python'], 2)) print (f) The output I received was as follows: [('Javad', 'love'), ('Javad', 'python'), ('love', 'python')] I'm searching for a method ...
As a newfound web application developer, I have already developed several applications. Lately, I have noticed the increasing value of Machine Learning, Deep Learning, and NLP. I am eager to learn how these technologies can be applied to web applications ...
I have the following dictionary: {'time pickup': 8, 'pickup drop': 7, 'bus good': 5, 'good bus': 5, 'best service': 4, 'rest stop': 4, 'comfortable journey': 4, 'good service' ...
I have a string that is formatted as follows: "<ENAMEX TYPE="PERSON">Edward R. Kimmel</ENAMEX>, one of Admiral <ENAMEX TYPE="PERSON">Jack</ENAMEX>'s two surviving sons and..." I am looking for an output similar to this: PERSON Ed ...
I am in possession of a large JSON dataset containing English conversations and I am curious about potential tools or methods that could facilitate translating them into Arabic. Are there any suggestions? ...
Hello everyone! I am diving into the world of Gensim Word2Vec and could use some guidance. My current task involves using Word2Vec to create word vectors for raw HTML files. To kick things off, I convert these HTML files into text files. Question Number O ...
I am working on creating a basic histogram using matplotlib in Python. The histogram will display the distribution of comment lengths based on several thousand comments. Here is the code I have so far: x = [60, 55, 2, 30, ..., 190] plt.hist(x, bins=100) ...
Currently, I am utilizing the spacy library for natural language processing to assign particular attributes to a large amount of data consisting of over 100,000 questions and answers. The process of assigning these attributes takes approximately one minute ...
File "/home/abhigenie92/stanford2/Code/dependencies.py", line 18, encountering error in the get_dependencies function: result = loads(server.parse(sentence)); File "/home/abhigenie92/stanford-corenlp-python/jsonrpc.py", line 934, while making a call ...
I am struggling with accessing items from a nested json file. Can someone provide some guidance? intents = {"intents": [ {"tag": "greeting", "patterns": ["Hi", "Hey", "Is anyone there?", "Hello", "Hay"], "responses": ["Hello", "Hi", "Hi there ...
I currently have a Jupyter notebook that is able to process a PDF file, execute an LLM model, and provide a summary of the content. I am considering creating a web application where users can upload their PDF files, send them to the Jupyter notebook for p ...
I'm currently using a pre-trained Word2Vec model designed for processing tweets to generate vectors for individual words. You can find more information about the software here. My plan is to calculate the average of these vectors and utilize a classifier t ...
When looking at the code snippet below, it appears that the tokenizer is splitting certain words. I'm wondering if this behavior is a characteristic of the model or if there's a way to prevent it from splitting the words. These tokens are being used for in ...
Converting One Hot Encoded Columns to Multi-labeled Data Representation. I am looking to transform over 20 one hot encoded columns into a single column with label names, while also considering the fact that the data is multi-labeled. I aim for the label co ...
When it comes to skipgrams, they are considered to be ngrams that encompass all ngrams and include each (k-i)skipgram until (k-i)==0 (which covers 0 skip grams). So, the question arises: how can one efficiently calculate these skipgrams in Python? Below i ...
I am working with a pandas DataFrame that has two columns of strings. My goal is to add a third column which will calculate the Edit Distance between the values in the first two columns. from nltk.metrics import edit_distance df['edit'] = edit_distanc ...
import nltk from nltk.corpus import brown input_word = input("Please type a word:") tagged_words = brown.tagged_words() for current_word in tagged_words: if This is how my code begins, but unfortunately I am stuck here. ...
I am working with a unique document It's not your typical text It's full of scientific terminologies The content of this document looks like this RepID,Txt 1,K9G3P9 4H477 -Q207KL41 98464 ... Q207KL41 2,D84T8X4 -D9W4S2 -D9W4S2 8E8E65 ... D9W4S2 3,-05L8 ...