Programming VIP

Chat robot Chat robots can be used for practical purposes, such as customer service or information acquisition. Some chat robots will be equipped with natural language processing systems, but most simple systems will only retrieve the input keywords and find the most appropriate response sentences from the database. Chat robots are part of vir ...

catalogue 1. Demand analysis: 2. Algorithm principle: 3. Technical analysis 4. Source code 5. Expand 6. Problems encountered 7. Summary: Like to watch and form a habit In the game, the chat function is almost a necessary function. There are some problems with this function, that is, it will cause the world channel to be very chao ...

Part of speech prediction by Python note42 LSTM Summary of all notes: Pytoch note Happy Planet Model introduction For a word, there will be different parts of speech. First, we can make a preliminary judgment according to the suffix of a word. For example, the suffix - ly is very likely to be an adverb. In addition, a same word can repre ...

1, Overview About 100000 microblog comments are used as training data. Data 1 represents positive comments and 0 represents negative comments. pandas and jieba are used to pre process the data. TFIDF vectorizes the processed data, and then uses support vector machine and naive Bayes to train the processed data set. The algorithm is implemented ...

positive? inactive? Neutral? Sentences can be analyzed using the Stanford CoreNLP component and a few lines of code. This article describes how to implement such tasks in Java using emotion tools integrated into Stanford CoreNLP, an open source library for natural language processing. Stanford CoreNLP emotion classifier To perfor ...

2021SC@SDUSC Algorithms used for jieba word segmentation: Efficient word map scanning based on Trie tree structure generates a directed acyclic graph (DAG) of all possible word-forming situations of Chinese characters in a sentence. Dynamic programming is used to find the maximum probability path to find the maximum tangent combination based on ...

Refer to the original website[ https://github.com/pytorch/fairseq/blob/master/examples/bart/README.summarization.md ] Pre Training Model Download: Download the pre trained model Bart base. tar: [ https://dl.fbaipublicfiles.com/fairseq/models/bart.base.tar.gz ] Dataset Download: Download CNN/DM: http://cs.nyu.edu/~kcho/DMQA / (download sto ...

Recently tried to use HuggingFace 🤗 The transformers library fine tuned the Bert text classification under pytorch, and found many Chinese blog s, mainly for the processing of data. There is no detailed description, and I don't know how to deal with the format of dataset, so I make a record here.Dependent packagepytorchtransformersscikit-learn ...

Chapter 3 word2vec The topic of this chapter is still the distributed representation of words. In the previous chapter, we obtained the distributed representation of words by using the counting based method. In this chapter, we will discuss the alternative method of this method, that is, the reasoning based method. As the name suggests, t ...

Machine translation based on Transformer Machine translation is the process of using computers to convert one natural language (source language) into another natural language (target language). This project is the PaddlePaddle implementation of Machine Translation's mainstream model Transformer, including model training, prediction, and use o ...