Generating Similar Words (or Synonyms) with Word Embeddings (Word2Vec)2019 Community Moderator ElectionHow to handle Memory issues in training Word Embeddings on Large Datasets?How to overcome training example's different lengths when working with Word Embeddings (word2vec)Understanding Word EmbeddingsK-means clustering of word embedding gives strange resultsWhy would you use word embeddings to find similar words?Learning word embeddings using RNNHow to count number of word embeddings in Gensim Word2Vec modelPossible reasons for word2vec learning context words as most similar rather than words in similar contextsWord embeddings and punctuation symbolsDocument parsing modeling and approach?
Why can't I see bouncing of a switch on an oscilloscope?
Client team has low performances and low technical skills: we always fix their work and now they stop collaborate with us. How to solve?
Codimension of non-flat locus
Can I make popcorn with any corn?
Is it inappropriate for a student to attend their mentor's dissertation defense?
Is it tax fraud for an individual to declare non-taxable revenue as taxable income? (US tax laws)
Was any UN Security Council vote triple-vetoed?
Why is consensus so controversial in Britain?
Important Resources for Dark Age Civilizations?
Add text to same line using sed
Did Shadowfax go to Valinor?
Replacing matching entries in one column of a file by another column from a different file
Can I ask the recruiters in my resume to put the reason why I am rejected?
Revoked SSL certificate
How can bays and straits be determined in a procedurally generated map?
Do I have a twin with permutated remainders?
Fully-Firstable Anagram Sets
How can I prevent hyper evolved versions of regular creatures from wiping out their cousins?
Perform and show arithmetic with LuaLaTeX
Cross compiling for RPi - error while loading shared libraries
Character reincarnated...as a snail
High voltage LED indicator 40-1000 VDC without additional power supply
Why doesn't Newton's third law mean a person bounces back to where they started when they hit the ground?
Is it legal for company to use my work email to pretend I still work there?
Generating Similar Words (or Synonyms) with Word Embeddings (Word2Vec)
2019 Community Moderator ElectionHow to handle Memory issues in training Word Embeddings on Large Datasets?How to overcome training example's different lengths when working with Word Embeddings (word2vec)Understanding Word EmbeddingsK-means clustering of word embedding gives strange resultsWhy would you use word embeddings to find similar words?Learning word embeddings using RNNHow to count number of word embeddings in Gensim Word2Vec modelPossible reasons for word2vec learning context words as most similar rather than words in similar contextsWord embeddings and punctuation symbolsDocument parsing modeling and approach?
$begingroup$
We have a search engine, and when users type in Tacos, we also want to search for similar words, such as Chilis or Burritos.
However, it is also possible that the user search with multiple keywords. Such as Tacos Mexican Restaurants, and we also want to find similar word such as Chilis or Burritos.
What we do is to add all the vectors together for each word. This sometimes works, but with more keywords the vectors tend to be in a place where there are no neighbors.
Is there an approach where we can use not only one word, but multiple word, and still gives us similar results? We are using pre-trained glove vectors from Stanford, would it help if we train on articles that are food related, and specifically use that type of word embeddings for this task?
word2vec word-embeddings
asked 5 hours ago
user1157751user1157751
2181416
$endgroup$
add a comment |
$begingroup$
We have a search engine, and when users type in Tacos, we also want to search for similar words, such as Chilis or Burritos.
However, it is also possible that the user search with multiple keywords. Such as Tacos Mexican Restaurants, and we also want to find similar word such as Chilis or Burritos.
What we do is to add all the vectors together for each word. This sometimes works, but with more keywords the vectors tend to be in a place where there are no neighbors.
Is there an approach where we can use not only one word, but multiple word, and still gives us similar results? We are using pre-trained glove vectors from Stanford, would it help if we train on articles that are food related, and specifically use that type of word embeddings for this task?
word2vec word-embeddings
asked 5 hours ago
user1157751user1157751
2181416
$endgroup$
add a comment |
$begingroup$
We have a search engine, and when users type in Tacos, we also want to search for similar words, such as Chilis or Burritos.
However, it is also possible that the user search with multiple keywords. Such as Tacos Mexican Restaurants, and we also want to find similar word such as Chilis or Burritos.
What we do is to add all the vectors together for each word. This sometimes works, but with more keywords the vectors tend to be in a place where there are no neighbors.
Is there an approach where we can use not only one word, but multiple word, and still gives us similar results? We are using pre-trained glove vectors from Stanford, would it help if we train on articles that are food related, and specifically use that type of word embeddings for this task?
word2vec word-embeddings
asked 5 hours ago
user1157751user1157751
2181416
$endgroup$
We have a search engine, and when users type in Tacos, we also want to search for similar words, such as Chilis or Burritos.
However, it is also possible that the user search with multiple keywords. Such as Tacos Mexican Restaurants, and we also want to find similar word such as Chilis or Burritos.
What we do is to add all the vectors together for each word. This sometimes works, but with more keywords the vectors tend to be in a place where there are no neighbors.
Is there an approach where we can use not only one word, but multiple word, and still gives us similar results? We are using pre-trained glove vectors from Stanford, would it help if we train on articles that are food related, and specifically use that type of word embeddings for this task?
word2vec word-embeddings
word2vec word-embeddings
asked 5 hours ago
user1157751user1157751
2181416
asked 5 hours ago
user1157751user1157751
2181416
asked 5 hours ago
user1157751user1157751
2181416
asked 5 hours ago
user1157751user1157751
2181416
asked 5 hours ago
user1157751user1157751
2181416
2181416
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function ()
return StackExchange.using("mathjaxEditing", function ()
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix)
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
);
);
, "mathjax-editing");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "557"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48722%2fgenerating-similar-words-or-synonyms-with-word-embeddings-word2vec%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48722%2fgenerating-similar-words-or-synonyms-with-word-embeddings-word2vec%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
