sentiment-analysis

问题 I want to do a sentiment analysis of German tweets. The code I use works fine with English, but when I load the German word list, all scores just result zero. As far as I can guess, it must have to do with the different structures of the word lists. So what I need to know is, how to adapt my code to the structure of the German word-list. Someone could take a look at both of the lists ? English Wordlist German Wordlist # load the wordlists pos.words = scan("~/positive-words.txt",what=

问题 I need to do sentiment analysis on some csv files containing tweets. I'm using SentiWordNet to do the sentiment analysis. I got the following piece of sample java code they provided on their site. I'm not sure how to use it. The path of the csv file that I want to analyze is C:\Users\MyName\Desktop\tweets.csv . The path of the SentiWordNet_3.0.0.txt is C:\Users\MyName\Desktop\SentiWordNet_3.0.0\home\swn\www\admin\dump\SentiWordNet_3.0.0_20130122.txt . I'm new to java, pls help, thanks! The

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 6 years ago . My requirement is taking in news articles and determining if they are positive or negative about a subject. I am taking the approach outlined below, but I keep reading NLP may be of use here. All that I have read has pointed at NLP detecting opinion from fact, which I don't

问题 All I want to do is find the sentiment (positive/negative/neutral) of any given string. On researching I came across Stanford NLP. But sadly its in Java. Any ideas on how can I make it work for python? 回答1: Use py-corenlp Download Stanford CoreNLP The latest version at this time (2018-10-23) is 3.9.2: wget https://nlp.stanford.edu/software/stanford-corenlp-full-2018-10-05.zip https://nlp.stanford.edu/software/stanford-english-corenlp-2018-10-05-models.jar If you do not have wget, you probably

问题 I'm looking to do some classification in the vein of NLTK Chapter 6. The book seems to skip a step in creating the categories, and I'm not sure what I'm doing wrong. I have my script here with the response following. My issues primarily stem from the first part -- category creation based upon directory names. Some other questions on here have used filenames (i.e. pos_1.txt and neg_1.txt ), but I would prefer to create directories I could dump files into. from nltk.corpus import movie_reviews

问题 I have been trying to get the sentiment value from the stanford corenlp , but it seems in the interactive shell, the sentiment is not given as an output. I have specified the annotators using the command given in the official website. java -cp "*" -Xmx3g edu.stanford.nlp.pipeline.StanfordCoreNLP -annotators tokenize,ssplit,pos,lemma,ner,parse,dcoref, sentiment Also, when i tried for getting just the sentiment, then at first asked for other annotators, after providing i didn't give any output

问题 I have some tweets and other variables that I would like to convert into a sparse matrix. This is basically what my data looks like. Right now it is saved in a data.table with one column that contains the tweet and one column that contains the score. Tweet Score Sample Tweet :) 1 Different Tweet 0 I would like to convert this into a matrix that looks like this: Score Sample Tweet Different :) 1 1 1 0 1 0 0 1 1 0 Where there is one row in the sparse matrix for each row in my data.table. Is

问题 I have a dataframe with rows of text. I would like to extract for each row of text a vector of specific emotion which will be a binary 0 is not exist this emotion or 1 is exist. Totally they are 5 emotions but I would like to have the 1 only for the emotion which seem to be the most. Example of what I have tried: library(tidytext) text = data.frame(id = c(11,12,13), text=c("bad movie","good movie","I think it would benefit religious people to see things like this, not just to learn about our

问题 I want to calculate the polarity and subjectivity for some headlines that I have. My code works fine, it does not gives any error but for some rows it gives result 0.00000 for polarity and subjectivity. Do you know why? You can download the data form here: https://www.sendspace.com/file/e8w4tw Am I doing something wrong? This is the code: import pandas as pd from textblob import TextBlob pd.set_option('display.max_rows', 500) pd.set_option('display.max_columns', 500) pd.set_option('display

问题 Using the command pip install textract I'm unable to install textract on my Ubuntu 16.04, Python 2. I get the following error: Collecting textract Requirement already satisfied: python-pptx==0.6.5 in ./anaconda2/lib/python2.7/site-packages (from textract) (0.6.5) Requirement already satisfied: docx2txt==0.6 in ./anaconda2/lib/python2.7/site-packages (from textract) (0.6) Requirement already satisfied: six==1.10.0 in ./anaconda2/lib/python2.7/site-packages (from textract) (1.10.0) Requirement