自己NLP常用框架——自己会调用

NLP常用框架

传统机器学习

Sklearn库、keras框架、pandas库、Numpy库、xgboost库、
tqdm进度条库、nltk词向量库、

一般常用库

#载入接下来分析用的库

• import pandas as pd
• import numpy as np
• import xgboost as xgb
• from tqdm import tqdm
• from sklearn.svm import SVC
• from keras.models import Sequential
• from keras.layers.recurrent import LSTM, GRU
• from keras.layers.core import Dense, Activation, Dropout
• from keras.layers.embeddings import Embedding
• from keras.layers.normalization import BatchNormalization
• from keras.utils import np_utils
• from sklearn import preprocessing, decomposition, * * model_selection, metrics, pipeline
• from sklearn.model_selection import GridSearchCV
• from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
• from sklearn.decomposition import TruncatedSVD
• from sklearn.linear_model import LogisticRegression
• from sklearn.model_selection import train_test_split
• from sklearn.metrics import classification_report
• from sklearn.naive_bayes import MultinomialNB
• from keras.layers import GlobalMaxPooling1D, Conv1D, ** MaxPooling1D, Flatten, Bidirectional, SpatialDropout1D
• from keras.preprocessing import sequence, text
• from keras.callbacks import EarlyStopping
• from nltk import word_tokenize
  全部将其搞定都行啦的回事与打算，
  复现论文时候，在根据自己的使用情况，学习每一个库的相关API的详细使用情况，全部将其搞定都行啦的回事，而不是单单的将该函数给学透彻，全部将其研究彻底，各种API函数，将其全部都搞透彻，研究彻底都行啦的理由与打算。