Questions tagged [word2vec]

Our tool offers a streamlined approach to executing the continuous bag-of-words and skip-gram models which are essential for generating word vector representations. These representations have a wide range of applications in natural language processing and can also be utilized for academic research purposes.

Grouping IP addresses based on their corresponding domain names

I am currently working with an IP network that consists of a series of sequential IP addresses. My goal is to group ranges of IP addresses into separate entities and assign each IP within the range various properties such as time to live, nameservers, and ...

Gensim's Word2Vec is throwing an error: ValueError - Section header required before line #0

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 ...

How does Word2vec perform its operations on analogies?

Based on information found at https://code.google.com/archive/p/word2vec/: A recent discovery revealed that word vectors are able to capture various linguistic regularities. For instance, performing vector operations like vector('Paris') - ve ...

Leveraging a pre-trained Word2Vec model for conducting sentiment analysis

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 ...

Troubleshooting a character encoding problem when applying word2vec in Python

I'm currently working on my debut Python app which utilizes a word2vec model. Below is the code snippet I have implemented: import gensim, logging import sys import warnings from gensim.models import Word2Vec logging.basicConfig(format='%(ascti ...