Sentiment Analysis in Python

Sentiment Analysis in Trading: Python's Perspective on Market Emotions: Sentiment Analysis in Quantitative Finance eBooks & eLearning

Posted by TiranaDok at Jan. 25, 2024

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Machine Learning - Twitter Sentiment Analysis in Python eBooks & eLearning

Posted by naag at July 22, 2017

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Sentiment Analysis through Deep Learning with Keras & Python eBooks & eLearning

Posted by Sigha at Sept. 20, 2019

Sentiment Analysis through Deep Learning with Keras & Python
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 599 MB
Duration: 3 hours | Genre: eLearning | Language: English

Learn to apply sentiment analysis to your problems through a practical, real world use case

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Sentiment Analysis through Deep Learning with Keras and Python eBooks & eLearning

Posted by IrGens at Oct. 27, 2019

Sentiment Analysis through Deep Learning with Keras and Python
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 53m | 599 MB
Instructor: Mohammad Nauman

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Applied Text Mining and Sentiment Analysis with Python eBooks & eLearning

Posted by ELK1nG at Feb. 6, 2021

Applied Text Mining and Sentiment Analysis with Python
MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 2h 12m | 745.6 MB

Perform Sentiment Analysis on Twitter data by combining Text Mining and NLP techniques, NLTK and Scikit-Learn

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Sentiment Analysis with LSTM and Keras in Python (Updated) eBooks & eLearning

Posted by Sigha at June 25, 2020

Sentiment Analysis with LSTM and Keras in Python
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 924 MB
Genre: eLearning Video | Duration: 18 lectures (2 hour, 46 mins) | Language: English

Learn how to do Sentiment Classification using LSTM in Keras and Python

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Data Science: Natural Language Processing (NLP) in Python 2021 eBooks & eLearning

Posted by ELK1nG at June 7, 2021

Data Science: Natural Language Processing (NLP) in Python 2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 2.56 GB | Duration: 9h 55m

Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

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