If you use the word2vec source from here, you will need to fix the bucket issue before using the new source. FIXED ISSUE
Installation Instructions:
How to Install Word2vec
First, you need to install the Ubuntu installation package. To do this, run the following commands:
sudo apt-get update sudo apt-get -y install software-properties-common sudo add-apt-repository -y ppa:freedesktop.org/~ubuntu-xenial sudo apt-get update sudo apt-get install libhdf5-serial-dev
Next, download and extract the source code for word2vec into your home directory:
mkdir ~/word2vec cd ~/word2vec wget https://github.com/tensorflow/models/blob/master/research/word_v2_downloader/word2vec.zip unzip word2vec.zip && cd word2vec
Finally, compile and install the model with the following command:
./configure --enable-gpu
sudo make && sudo make install
Introduction
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What is word2vec?
Word2vec is an open-source software library for word embedding. Word2vec models words as vectors of numbers, where the values correspond to the similarity between different words. This allows it to be applied to a number of natural language processing tasks in addition to text categorization.
Background: Word2vec and Sentiment Analysis
Word2vec is a language model that uses the words in a text, such as tweets or blog posts, to predict what other words are likely to appear. The model was trained on Wikipedia articles and can be used for sentiment analysis of images or text. Sentiment analysis allows us to determine the overall emotional mood of a given piece of text or image by assigning it one of five possible emotions: positive, negative, neutral, anger and surprise.
Timeline
Published on: 11/10/2022 18:15:00 UTC
Last modified on: 11/15/2022 20:27:00 UTC