spacy sentiment analysis

Social networking-based sentiment analysis III, social sentiment iiiEmotional analysis based on social network IIIBy bear flower (http://blog.csdn.net/whiterbear) reprint need to indicate the source, thank you. Previously, we captured and processed Weibo data in a simple way. This article analyzes the similarity of sch

-preservation without desire is just-----know how to temperanceOnly if you know how to be restrained, you can choose well. As the saying goes, "small can not bear the chaos of great conspiracy", we must learn to restrain themselves, always examine themselves, the key moment to be clean, to know no desire is just the truth, do not let some bad habits affect their own life.61st sentiment: be honest and trustworthy and devote----promote career developmen

SNOWNLP is a python version of the text Analysis tool, Ubuntu install SNOWNLP command: Pip install SNOWNLP. The use of SNOWNLP can be used for word segmentation, pos tagging, Text digest extraction, text sentiment analysis, the following posted SNOWNLP participle, part-of-speech tagging, sentiment

One of the best tutorials to learn lstm is deep learning tutorial See http://deeplearning.net/tutorial/lstm.html The sentiment analysis here is actually a bit like Topic classification First learn to enter data format, run the whole process again, the data is also very simple, from the idbm download of the film review data, 50,000 annotated data, plus and minus half, 5,000 no annotated data, each film no mo

wikipedia:sentiment Analysis (also known as Opinion mining) refers to the use of natural language processing, text analysis and computational Linguistics to identify and extract subjective information in source materials.In 1997, firstly proposed by the MIT Professor Rosalind Picard in effective Computing.Basic Task is classifying the polarity (positive, negative, or neutral). Beyond polarity: e.g. emotion

cities in the new commodity residential prices rose in the city only 1, 64 city house prices fell, which shows the January real estate market prices have also fallen."China Chengdu Hardware and mechanical Index" sentiment index of the recent year trend chartStatistical field of view pointed out that closely related to macroeconomic trends, especially by the manufacturing industry, building real estate, the impact of hardware and mechanical industry J

cities in the new commodity residential prices rose in the city only 1, 64 city house prices fell, which shows the January real estate market prices have also fallen."China Chengdu Hardware and mechanical Index" sentiment index of the recent year trend chartStatistical field of view pointed out that closely related to macroeconomic trends, especially by the manufacturing industry, building real estate, the impact of hardware and mechanical industry J

The previous article mentioned a few questions about sentiment analysis, and perhaps these questions can inspire you, but before we look at these questions, we need to know more about the characteristics of Weibo and whether it will have an impact on our emotional analysis. In addition to some very cow x people, in fact, most of the microblogging users are gras

Text analytics, sentiment analysis, and social analytics help you transform the "voice" of customers, patients, the public, and the market on a certain scale. The technology is now widely used in a range of industrial products, from healthcare to finance, media, and even customer markets. They extract business insights from online, social networks, and enterprise data sources.It's a useful thing to extract

Forest 40g Maximum entropy 40g Decision Tree 40g BAGGING 40g Svm 20% Experiment two (code file Sentiment_analyse. R):Data file: http:///sentiment/data/Classification using Bayes, MAXENT, SVM, Slda, BAGGING, RF, tree classifierThe results are as follows: Classifier Name Accuracy rate (R) Accuracy rate (spark) Bayesian

International-airline-passengers.csv is less, roughly as follows"Month","International airline passengers: monthly totals in thousands. Jan 49 ? Dec 60""1949-01",112"1949-02",118"1949-03",132"1949-04",129"1949-05",121"1949-06",135"1949-07",148"1949-08",148"1949-09",136"1949-10",119"1949-11",104"1949-12",118"1950-01",115"1950-02",126"1950-03",141"1950-04",135"1950-05",125"1950-06",149"1950-07",170"1950-08",170"1950-09",158"1950-10",133"1950-11",114"1950-12",140"1951-01",145"1951-02",150"1951-03"

4 pickle files have been generated, respectively, for documents,word_features,originalnaivebayes5k,featurestsWhere featurests capacity is the largest, more than 300 trillion, if the expansion of 5000 feature set, capacity continues to expand, accuracy also provideshttps://www.pythonprogramming.net/sentiment-analysis-module-nltk-tutorial/Creating A module for sentiment