Word Embeddings Project in NLP
Budget: $30 – $250 USD
I want only Word Embeddings done in NLP in either Python or Tensorflow, to convert Words into Vectors.
Unstructured data from News Articles will be used here. You will scrape and provie your own content, even legitimate Training Dataset from Open Source Repositories, such as Github.
Want to use Each of the following methods: CBOW, Skip Gram, TF-IDF, TF, One-hot Encoding
Finally, You got to write a 1000 words Assignment to clearly explain the logic of your Words to Vectors conversion, to cover application of the 5 aforementioned methods, with 200 words for Each Method above, since there are 5 methods mentioned above
So just coding won't do ! Please take note. Of course Accuracy in your coding matters still.
Milestone will only be released when full scope of project is delivered.
Also, no demands for Milestone top-ups can be accommodated after project starts.
Finally, no request for partial nor full release of milestones upfront can be accepted from any developer.
Unstructured data from News Articles will be used here. You will scrape and provie your own content, even legitimate Training Dataset from Open Source Repositories, such as Github.
Want to use Each of the following methods: CBOW, Skip Gram, TF-IDF, TF, One-hot Encoding
Finally, You got to write a 1000 words Assignment to clearly explain the logic of your Words to Vectors conversion, to cover application of the 5 aforementioned methods, with 200 words for Each Method above, since there are 5 methods mentioned above
So just coding won't do ! Please take note. Of course Accuracy in your coding matters still.
Milestone will only be released when full scope of project is delivered.
Also, no demands for Milestone top-ups can be accommodated after project starts.
Finally, no request for partial nor full release of milestones upfront can be accepted from any developer.