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Make a data frame which sums up all the polarities of all each word of each comment and outputs it as the corresponding rating (x/10).
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Make preliminary data frame and compute some basic statistics
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When myself and @DrRaja joined the project we analysed the type system developed by the previous researcher. We discovered that it had some limitations particularly with extensibility. Since then we h…
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As we discussed in Athens, we should fix the types a user can pick from during the creation of the ML model.
In the meeting we ended up with this set of primitive types: (rascal syntax for bnf like…
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Thanks for the nice library Jesús, very nice work again.
**Describe the bug**
If you write the name of an entity in the utterance, you actually score almost perfect score in an intent that uses …
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Would be great if we could have stemmers addition to "other" section to reduce dimensionality of NLP. Cutting down some wasted memory/processing time from things like plurals and generating stronger l…
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# 3.9 Has Been Release to Github and Pypi
Its been a while and lots of other things go in the way, but I am pleased to release 3.9 into the wild
## What's News?
* Openchatbot support (client and …
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@tsalo
A few questions concerning functions in data_preparation.py
1) process_corpus
Im sure a lot of the term manipulation is built in, but are we sure its doing what we want it to? Taking a l…
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Suggestion: remove "system" from [ENGLISH_STOP_WORDS](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/feature_extraction/stop_words.py). This one bit me today. The text I'm working wi…
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## Describe the bug
Attempting to use dfm with tfidf weighting scheme `dfm_tfidf()` within `textmodel_nb()` but receive the following error: `Error: will not group a weighted dfm; use force = TRUE …