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ref payan nameh

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  1. nlp
  2. متن کاوی چیست؟
  3. Sentiment Analysis

payan nahmeh

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  1. A simple explanation of document embeddings generated using Doc2Vec
  2. [18]-Unitn-%20Training%20deep%20convolutional%20neural%20network%20for%20twitter%20sent...
  3. Peng_Yangtuo_2016_Master.pdf

final link

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  1. Text Classification With Word2Vec
  2. Intuitive Understanding of Word Embeddings: Count Vectors to Word2Vec
  3. How to get vector for a sentence from the word2vec of tokens in sentence
  4. Apply word embeddings to entire document, to get a feature vector
  5. Average of columns of feature matrix to get gist of passage in word2vec?

word2vec

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  1. Python gensim Word2Vec tutorial with TensorFlow and Keras - Adventures in Machine Learning
  2. How to Use Word Embedding Layers for Deep Learning with Keras - Machine Learning Mastery
  3. A Word2Vec Keras tutorial - Adventures in Machine Learning
  4. ورد۲وک کجا، چطور و چگونه – قسمت اول
  5. New bookmark

deep learning

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  1. Stock Market Forecasting using deep learning ? : MachineLearning
  2. StocksNeural.net - Stocks prices prediction using Deep Learning
  3. Predict stock prices with LSTM | Kaggle
  4. YouTube
  5. Deep Learning the Stock Market – Tal Perry – Medium
  6. GitHub - keon/deepstock: Technical experimentations to beat the stock market using deep...
  7. 13 more

temp

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  1. تماس با ما – فرادرس
  2. Python Programming Tutorials
  3. Python Programming Tutorials
  4. Python Programming Tutorials
  5. Python Programming Tutorials

NLP

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  1. Introduction to NLTK (Natural Language Processing) with Python – Python For Engineers
  2. 6. Learning to Classify Text
  3. New Tab

timeSeries

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  1. python - Time series and Sentiment Analysis with Pandas Timegrouper - Stack Overflow

TF-IDF

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  1. MMaleki-CSICC2007.pdf
  2. l9.ppt
  3. روش TF-IDF - آکادمی داده کاوی انجام پروژه ها و پایانامه های داده کاوی دانشجوی کارشناسی ...

doc2vec

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  1. Doc2vec : How to get document vectors
  2. New bookmark
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  1. طراحی قالب پلاستیک
    طراحی قالب پلاستیک · almost 5 years ago

    very usueful and very intresting https://solidkar.ir/?page_id=225

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