VaderSentiment:表情分析器在Jupyter Notebook中不工作

Question

我正在尝试对r/wallstreetbets内容做一些情感分析，也想使用表情符号的含义。

下面是我的代码：

from nltk.sentiment.vader import SentimentIntensityAnalyzer

wsb_lingo = {
    "bullish": 4.0,
    "bearish": -4.0,
    "bagholder": -4.0,
    "BTFD": 4.0,
    "FD": 4.0,
    "diamond hands": 0.0,
    "paper hands": 0.0,
    "DD": 4.0,
    "GUH": -4.0,
    "pump": 4.0,
    "dump": -4.0,
    "gem stone": 4.0, # emoji
    "rocket": 4.0, # emoji
    "andromeda": 0.0,
    "to the moon": 4.0,
    "stonks": -4.0,
    "tendies": 4.0,
    "buy": 4.0,
    "sell": -4.0,
    "hold": 4.0,
    "short": 4.0,
    "long": 4.0,
    "overvalued": -4.0,
    "undervalued": 4.0,
    "calls": 4.0,
    "call": 4.0,
    "puts": -4.0,
    "put": -4.0,
}

sid = SentimentIntensityAnalyzer()
sid.lexicon.update(wsb_lingo)

# Test
print(sid.polarity_scores('?'))
print(sid.polarity_scores('?'))

输出如下：

{'neg': 0.0, 'neu': 0.0, 'pos': 0.0, 'compound': 0.0}
{'neg': 0.0, 'neu': 0.0, 'pos': 0.0, 'compound': 0.0}

它怎么可能无法给表情符号任何情感(例如，由于Jupyter Notebook)？我是不是忘了什么？所有的库都是最新的。

Answer 1

如果我使用vaderSentiment而不是nltk.sentiment.vader，它对我是有效的

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

new = { "rocket": 4.0 }
sia = SentimentIntensityAnalyzer()
sia.polarity_scores('?')
# Outputs: {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}

sia.lexicon.update(new)
sia.polarity_scores('?')
# Outputs: {'neg': 0.0, 'neu': 0.0, 'pos': 1.0, 'compound': 0.7184}

另请参阅this issue