1000-most-common-words
most common word in your language / txt lists extracted from 1000mostcommonwords.com (by CodeBrauer)
scattertext
Beautiful visualizations of how language differs among document types. (by JasonKessler)
| 1000-most-common-words | scattertext | |
|---|---|---|
| 8 | 3 | |
| 30 | 2,198 | |
| - | - | |
| 2.3 | 4.7 | |
| over 2 years ago | about 2 months ago | |
| PHP | Python | |
| - | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
1000-most-common-words
Posts with mentions or reviews of 1000-most-common-words.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-27.
- Where to find the 1000 most common words of a language?
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Question, where can I find a list over the 1000 or so most common words in Russian
I'm looking to learn the 1000 or so most common words in Russian so that i can start understanding more by context. I want a list where I can make the words into flashcards on Anki. Already tried 1000mostcommonwords.com but some of the words seem wrong.
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What are the most important words to learn in a language?
The 1000 most common words are probably going to be the most important. You can find them here for many languages. Most people will come across these top 1000 in their beginner learning season since many of these words are things like “he, she, it, I, am, want, there, etc,” the sheer basic building blocks of language
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What are the most commonly used 1000 words in your native language?
My impression of 1000mostcommonwords.com is that they got a nice domain name and got search hits, and put up a minimal word list for many commonly searched-for languages. The word list is probably not that bad, but it's not spectactular either, and they don't give any details on how they constructed it or what their methodology is at all.
- I saw this post a while back about the first 625 words you should learn in a language. What do you guys think about it?
- I found a cool resource that I think some people here would find useful.
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Namebases from 1000mostcommonwords.com
I've found this website, which contains lists of 1000 words for a lot of different languages, and I thought about using it for namebases. To make things faster I wrote this little JavaScript snippet to retrieve a comma-separated list of words from the table. To get a namebase, just open the page for the language of your choice, run the code, and copy-paste the generated namebase into FMG.
- [Data] Principali parole degli ultimi (circa) 200 post sul sub
scattertext
Posts with mentions or reviews of scattertext.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-27.
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Clustering of text - Where to start?
If what you want is to determine how similar two categories are, or to learn something about the structure or words that compose those categories, you might consider word shift graphs or Scattertext.
- [Data] Principali parole degli ultimi (circa) 200 post sul sub
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Alternate approaches to TF-IDF?
Other suggestions: Take a look at Scattertext. Compare keywords to the problem of aspect extraction. I think an underutilized way to look at textual data when you have a single group of interest is the word-frequency-based odds ratio.
What are some alternatives?
When comparing 1000-most-common-words and scattertext you can also consider the following projects:
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
KeyBERT - Minimal keyword extraction with BERT
stopwords-it - Italian stopwords collection
word_cloud - A little word cloud generator in Python
shifterator - Interpretable data visualizations for understanding how texts differ at the word level
lit - The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
yake - Single-document unsupervised keyword extraction
dutch-word-embeddings - Dutch word embeddings, trained on a large collection of Dutch social media messages and news/blog/forum posts.
faiss - A library for efficient similarity search and clustering of dense vectors.
texthero - Text preprocessing, representation and visualization from zero to hero.
pyRDF2Vec - 🐍 Python Implementation and Extension of RDF2Vec
gensim - Topic Modelling for Humans