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Negative Comment Detection

This work here is a practice to understand and implement NLP model in an online course.

LSTM, BiLSTM, and Transformer Encoder layer is applied to extract the fearture from every comment. After that the NN model is exploited to do binary classification on extracted feature. In this prohect, gensim Library is applied to perform Word2Vec embedding process.

Data description

There are three files in the dataset:

  1. Training data with label:
    0 +++$+++ i dont need love . true true story . or am i just saying that because my heart isn ' t working anymore ......
    0 +++$+++ i wish it was one week in the future ... hello i need a holiday
    0 +++$+++ at the ups store , shipping a piece of my childhood that i sold on cl .
    1 +++$+++ i am realizing how mean it was to say i hate when people like my facebook status . i dont hate it at all , just would love if you added
    0 +++$+++ taking spy ! shots .. of the council dude cutting down my fav tree
    1 +++$+++ is tired from partyin it up till 4 am last night !
    1 +++$+++ laying in bed with my babies !!!

  2. Training data with no_label:
    1.mkhang mlbo . dami niang followers ee . di q rin naman sia masisisi . desperate n kng desperate , pero dpt tlga replyn nia q = d
    2.don ' t you hate it when you hang on to a seemingly interesting movie to see the ending only to find out that the ending sucks ?
    3.ok so never went to the movies because friend wasn ' t feeling well but next weekend . back to work today , wasn ' t too bad .
    4.can ' t wait to see diversity ' s performance !
    5.i love britney spears haha joey this is what u do go party with eric or do things haha
    6.wish i could call in but i can ' t do blogtalk from work
    7.1 more day !

  3. Testing data:
    0,my dog ate our dinner . no , seriously ... he ate it .
    1,omg last day sooon n of primary noooooo x im gona be swimming out of school wif the amount of tears am gona cry
    2,stupid boys .. they ' re so .. stupid !
    3,hi ! do u know if the nurburgring is open for tourists today ? we want to go , but there is an event today
    4,having lunch in the office , and thinking of how to resolve this discount form issue
    5,shopping was fun
    6,wondering where all the nice weather has gone .
    7,morning ! yeeessssssss new mimi in aug
    8,umm ... maybe that ' s how the british spell it ?
    9,yes it ' s 3 : 50 am . yes i ' m still awake . yes i can ' t sleep . yes i ' ll regret it tomorrow . haha i love you mr saturday

Label 1 means the sentence contains positive mood (happy etc.
Label 0 means the sentence contains negative mood ( sad, angry etc.)

Result:

LSTM BiLSTM Transformer Encoder
Score 81.1 80.1 70.9

Result Sample

0,my dog ate our dinner . no , seriously ... he ate it . -> 0
1,omg last day sooon n of primary noooooo x im gona be swimming out of school wif the amount of tears am gona cry -> 0
2,stupid boys .. they ' re so .. stupid ! ->0
3,hi ! do u know if the nurburgring is open for tourists today ? we want to go , but there is an event today -> 1
4,having lunch in the office , and thinking of how to resolve this discount form issue -> 1
5,shopping was fun ->1