from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
analyser = SentimentIntensityAnalyzer()
api_key = 'AIzaSyBR2kc8R5EzD1rnOjyXZfEL1FOGLKojsg4'
yt = YouTubeDataAPI(api_key)
sonic_search = yt.search(q="Sonic The Headgehog", max_results=5, parser=None)
spy
df_sonic = pd.DataFrame(sonic_search)
df_sonic.head(5)
trailer = df_sonic.iloc[0]
trailer.video_id
comments = yt.get_video_comments(trailer.video_id, max_results=10)
df_comments = pd.DataFrame(comments)
df_graph_data = pd.DataFrame(columns=[
'comment_id', 'commenter_channel_id', 'channel_country', 'text', 'date',
'neg', 'neu', 'pos', 'compound'
])
channel_id = df_comments.iloc[0].commenter_channel_id
channel_data = yt.get_channel_metadata(channel_id)
# for index, row in df_comments.iterrows():
# channel_id = df_comments.iloc[0].commenter_channel_id
# channel_data = yt.get_channel_metadata(channel_id)
# print
def get_comments(video_id, api_key):
yt = YouTubeDataAPI(api_key)
return pd.DataFrame(yt.get_video_comments(video_id, get_replies=True))
from youtube_api import YouTubeDataAPI
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
analyser = SentimentIntensityAnalyzer()
api_key = 'AIzaSyBR2kc8R5EzD1rnOjyXZfEL1FOGLKojsg4'
yt = YouTubeDataAPI(api_key)
#video parts
video_parts = ['statistics', 'snippet', 'contentDetails', 'topicDetails']
#check api key is valid
if yt.verify_key():
sonic = yt.get_video_metadata('szby7ZHLnkA', parser=None, part=video_parts)
sonic_comments = yt.get_video_comments('szby7ZHLnkA', max_results=100)
df_comments = pd.DataFrame(sonic_comments)
df_graph_data = pd.DataFrame(columns=[
'comment_id', 'commenter_channel_id', 'channel_country', 'text',
'date', 'neg', 'neu', 'pos', 'compound'
])
for index, row in df_comments.iterrows():
channel_id = df_comments.iloc[0].commenter_channel_id
channel_data = yt.get_channel_metadata(channel_id)
score = analyser.polarity_scores(row['text'])
graph_row = {
'comment_id': row['comment_id'],
'commenter_channel_id': row['commenter_channel_id'],