twitter sentiment analysis api offers a wide variety of articles about twitter sentiment analysis api, easily find your twitter sentiment analysis api information here online.

Research: Twitter sentiment trends reflect Facebook IPO trends

The trend of stock prices has always been hard to understand. But on the day of Facebook's IPO, Twitter magically predicted every trend in its stock price change. The social media monitoring platform Datasift monitors FacebookTwitter sentiment on the day of the IPO. That is to say, people publish a lot of comments about Facebook's IPO on Twitter, which may includ

2016, 10 trends in text analytics, sentiment analysis, and social analytics

2015. A major selling point of the API. Indeed, Metamind, a hot start-up, transformed from NLP to image analysis in 2015, due to the enormous opportunities behind its image analysis.Five, a breakthrough in speech analysis, video analysis followed byThe entire market likes to talk about multichannel analytics and user

The basis of text sentiment analysis is natural language processing, affective dictionary, machine learning method and so on. Here are some of the resources I've summed up.

The basis of text sentiment analysis is natural language processing, affective dictionary, machine learning method and so on. Here are some of the resources I've summed up.Dictionary resources:Sentiwordnet"Knowledge Network" Chinese versionChinese Affective polarity dictionary NTUSDEmotion Vocabulary Ontology DownloadNatural language processing tools and platforms:Institute of Social Computing and Informati

Springboot sentiment edify-JMX analysis

To undertake the former Wen springboot sentiment edify [email protected] annotation analysis, the recent project in contact with the use of JMX protocol framework, then on the basis of the previous article on how to integrate JMX Springboot Knowledge ReserveJmx:java Management Extension (Java Management application extension), this mechanism can easily manage and monitor running Java programs. Often us

Python's lexical diversity analysis of Twitter tweet elements (Word, screen Name, Hash Tag)

CODE:#!/usr/bin/python #-*-Coding:utf-8-*-"Created on" ' I F __name__ = = ' __main__ ': # import login, see from Login im Port Twitter_login # Get the twitter access API Twitter_api = Twitter_login () # import tweet from Tweet im Port extract_tweet_entities # import Search from search import sea

A spectral analysis of the basic elements of Python's tweet on a given topic in Twitter

CODE:#!/usr/bin/python #-*-Coding:utf-8-*-"Created on" if _ _name__ = = ' __main__ ': # import Counter from collections Import Counter # import visualize from visualize Import Visualize_frequency_map # pip install prettytable # from prettytable import prettytable # import Searc H from search import Search_for_tweet # import login, see 06155 from login Import Twitter_login # Get the

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.