How to remove words from a sentence that carry no positive or negative sentiment?

Question

Im trying a sentiment analysis based approach on youtube comments, but the comments many times have words like mrbeast, tiger/'s, lion/'s, pewdiepie, james, etc which do not add any feeling in the sentence. I've gone through nltk's average_perception_tagger but it didn't work well as it gave the results as

my input:

"mrbeast james lion tigers bad sad clickbait fight nice good"

words that i need in my sentence:

"bad sad clickbait fight nice good"

what i got using average_perception_tagger:

[('mrbeast', 'NN'),
 ('james', 'NNS'),
 ('lion', 'JJ'),
 ('tigers', 'NNS'),
 ('bad', 'JJ'),
 ('sad', 'JJ'),
 ('clickbait', 'NN'),
 ('fight', 'NN'),
 ('nice', 'RB'),
 ('good', 'JJ')]

so as you can see if i remove mrbeast i.e NN the words like clickbait, fight will also get removed which than ultimately remove expressions from that sentence.