-
Right now the CNN text classification example provides support for glove and word2vec embeddings.
It would be great to also provide support for BERT to give users an example of how to integrate that …
-
In lesson 4 we'll dive in to natural language processing (NLP), using the IMDb movie review dataset. In this task, our goal is to predict whether a movie review is positive or negative; this is called…
-
Hello! Thank you for this amazing gift to everyone!
My issue is with Chapter 9's movie_classifier_with_update via `python app.py.` I am able to enter my sample review and get predicted class label …
-
- Issue type: Feature request
### Short description
Add a new app which shows movie tweets with statistics.
In the app movie tweets will be shown according to emotion of the tweets i.e., positive…
-
> AI - 人工智能；AR - 增强现实；CV - 机器视觉；DL - 深度学习；DM - 数据挖掘；DS - 数据科学；DV - 数据可视化；IOT - 物联网；ML - 机器学习；NLP - 自然语言处理
-
-
I am solving an NLP task and I am trying to model it directly as a sequence using different RNN flavors. How can I use my own Word Vectors rather than using an instance of layers.embeddings.Embedding?…
-
This is a simple text classification blog post - quick and easy!
-
This is from `dfm_select`'s example. Texts and dictionaries should be more meaningful in examples (these looks almost like unit tests).
```r
myDfm
-
Hi,
If I try to import senti_classifier, I get the aforementioned error at line 229 - pickle.load(senti_pickle).
I have pulled latest code from master.
Regards,
Chaitrali