Reprinted from: installing fasttext under windows + python3.6 + using fasttext on win + gensim (fasttext) I have been stuck for a long time. Faxttext is not very win-friendly, so I encountered many pitfalls and recorded them so that everyone can avoid detours. Method 1: Use pip install fasttext directly at the beginning, but in […]
Tag: fasttext
fastText implements text classification
fastText implements text classification 1. Introduction to fastText [A tool used to obtain word vectors and perform text classification; the efficiency of classification and the efficiency of obtaining word vectors are high] Document address: https://fasttext.cc/docs/en/support.html fastText is a library for efficient learning of word representations and sentence classification. fastText is a library for word representation […]
FastText understanding and use
Install: Direct pip install fasttext may fail to install, you can use the pip install fasttext-wheel command; In the v0.9.2 version, it is predicted that a warning Warning: `load_model` does not return WordVectorModel or SupervisedModel any more, but a `FastText`, which is not an error, can be solved by adding the following code: import fasttext […]
fasttext implements text classification
fastText implements text classification Goals Know what fastext is Ability to apply fasttext for text classification Ability to complete code intended to be identified in the project 1. Introduction to fastText Document address: https://fasttext.cc/docs/en/support.html fastText is a library for efficient learning of word representations and sentence classification. fastText is a library for word representation learning […]
NLP word embedding — (2.2) FastText: text classification
Table of Contents 1. About fasttext download and installation 1. There is a problem 2. Download and install steps 2. Data acquisition and processing 1.fasttext requires data format 2.Data format processing 3. Training fasttext model 1.Train the model 2. Training results 3. Model tuning 1) Increase the number of training rounds: epoch 2) Adjust the […]
NLP word embedding — (2.1) FastText: training word vectors
Table of Contents 1. FastText principle and algorithm 1.fastText function 2.fastText advantages 3.N-gram 4.Hierarchical Softmax 2. FastText training word vector 1. Load FastText from the gensim package 2. Model hyperparameters 3. Model training word vector 4. Saving and loading models 5. Use of word vectors 3. Update model corpus 4. Extract FastText model training results […]
Natural language processing (5): subword embedding (fastText model)
Subword embedding In English, words such as “helps”, “helped” and “helping” are all variations of the same word “help”. The relationship between “dog” and “dogs” is the same as the relationship between “cat” and “cats,” and the relationship between “boy” and “boyfriend” is the same as the relationship between “girl” and “girlfriend.” In other languages […]
[nlp natural language processing practice] case—FastText model text classification
Directory 1. Case introduction 2 codes 2.1 load_data.py 2.2 load_data_iter.py 2.3 FastText.py 2.4 train.py 2.5 predict.py 2.6 run.py 2.7 Experimental results (partial 3 code address 1. Case introduction The data set extracts 200,000 news headlines from THUCNews, the text length is 20-30 words, and there are 10 categories in total. Classify 20,000 items of each […]
torchtext use –FastText IMDB
References for this article: Faster Sentiment Analysis–with torchtext Some details may be slightly changed, and all code comments are based on my own understanding. The purpose of the article is only for personal comprehension records, not entirely a translation of the tutorial, and may not be applicable to all beginners, but it can also be […]
Comparison of text classification of AG_news data by Fasttext, TextCNN and BERT
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